Computational Imaging & VisAnalysis

#360: Y. Y. Wang, A. S.Hamad, K. Palaniappan, T. E.Lever, and F. Bunyak

LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos

Computers in Biology and Medicine, pgs. 105339, 2022

deep learning, vocal folds, laryngeal endoscopy, laryngeal closure detection, laryngeal adductor reflex

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar

@article{wang2022larnet,
  author = "Y. Y. Wang and A. S.Hamad and K. Palaniappan and T. E.Lever and F. Bunyak",
  title = "LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos",
  year = 2022,
  journal = "Computers in Biology and Medicine",
  publisher = "Elsevier",
  pages = "105339",
  month = "Feb",
  keywords = "deep learning, vocal folds, laryngeal endoscopy, laryngeal closure detection, laryngeal adductor reflex",
  doi = "https://doi.org/10.1016/j.compbiomed.2022.105339",
  url = "https://www.sciencedirect.com/science/article/abs/pii/S0010482522001317#!"
}

Y. Y. Wang, A. S.Hamad, K. Palaniappan, T. E.Lever, and F. Bunyak. LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos. Computers in Biology and Medicine, Elsevier, pages 105339, February 2022.

#358: K. Nouduri, K. Gao, J. Fraser, S. Yao, H. AliAkbarpour, F. Bunyak, and K. Palaniappan

Deep realistic novel view generation for city-scale aerial images

IEEE International Conference on Pattern Recognition (ICPR), pgs. 7, 2021

3d voxel rendering, denoising, convolutional neural networks, synthetic aerial imagery, point cloud evaluation

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Rohit2021:ICPR_deep-realistic-views,
  author = "K. Nouduri and K. Gao and J. Fraser and S. Yao and H. AliAkbarpour and F. Bunyak and K. Palaniappan",
  title = "Deep realistic novel view generation for city-scale aerial images",
  year = 2021,
  journal = "IEEE International Conference on Pattern Recognition (ICPR)",
  pages = "7",
  month = "Jan",
  keywords = "3d voxel rendering, denoising, convolutional neural networks, synthetic aerial imagery, point cloud evaluation",
  doi = "10.1109/ICPR48806.2021.9412844"
}

K. Nouduri, K. Gao, J. Fraser, S. Yao, H. AliAkbarpour, F. Bunyak, and K. Palaniappan. Deep realistic novel view generation for city-scale aerial images. IEEE International Conference on Pattern Recognition (ICPR), pages 7, January 2021.

#355: N. P. Nguyen, Y. Yoo, A. Chekkoury, E. Eibenberger, T. J. Re, J. Das, A. Balachandran, Y. W. Lui, P. C. Sanelli, T. J. Schroeppel, U. Bodanapally, S. Nicolaou, T. A. W. White, F. Bunyak, D. Comaniciu, and E. Gibson

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans

Proceedings of the IEEE/CVF International Conference on Computer Vision, pgs. 487--495, 2021

Bibtex, PlainText, Google Scholar

@inproceedings{nguyen2021brain,
  author = "N. P. Nguyen and Y. Yoo and A. Chekkoury and E. Eibenberger and T. J. Re and J. Das and A. Balachandran and Y. W. Lui and P. C. Sanelli and T. J. Schroeppel and U. Bodanapally and S. Nicolaou and T. A. W. White and F. Bunyak and D. Comaniciu and E. Gibson",
  title = "Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans",
  year = 2021,
  booktitle = "Proceedings of the IEEE/CVF International Conference on Computer Vision",
  pages = "487--495"
}

#354: I. Gubins, M. L. Chaillet, G. van der Schot, M. C. Trueba, R. C. Veltkamp, F. Förster, X. Wang, D. Kihara, E. Moebel, N. P. Nguyen, T. White, F. Bunyak, G. Papoulias, S. Gerolymatos, E. I. Zacharaki, K. Moustakas, X. Zeng, S. Liu, M. Xu, Y. Wang, C. Chen, X. Cui, and F. Zhang

SHREC 2021: classification in cryo-electron tomograms

Eurographics Workshop on 3D Object Retrieval, The Eurographics Association, 2021

Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Shrec:Eurographics2021,
  author = "I. Gubins and M. L. Chaillet and G. van der Schot and M. C. Trueba and R. C. Veltkamp and F. Förster and X. Wang and D. Kihara and E. Moebel and N. P. Nguyen and T. White and F. Bunyak and G. Papoulias and S. Gerolymatos and E. I. Zacharaki and K. Moustakas and X. Zeng and S. Liu and M. Xu and Y. Wang and C. Chen and X. Cui and F. Zhang",
  title = "SHREC 2021: classification in cryo-electron tomograms",
  year = 2021,
  booktitle = "Eurographics Workshop on 3D Object Retrieval",
  publisher = "The Eurographics Association",
  doi = "10.2312/3dor.20211307"
}

#353: T. E. Lever, A. M. Kloepper, I. Deninger, A. Hamad, B. L. Hopewell, A. K. Ovaitt, M. Szewczyk, F. Bunyak, B. Zitsch, B. Blake, and others

Advancing laryngeal adductor reflex testing beyond sensory threshold detection

Dysphagia, pgs. 1--21, 2021

Bibtex, PlainText, Google Scholar

@article{Lever:Dysphagia2021,
  author = "T. E. Lever and A. M. Kloepper and I. Deninger and A. Hamad and B. L. Hopewell and A. K. Ovaitt and M. Szewczyk and F. Bunyak and B. Zitsch and B. Blake and others",
  title = "Advancing laryngeal adductor reflex testing beyond sensory threshold detection",
  year = 2021,
  journal = "Dysphagia",
  publisher = "Springer",
  pages = "1--21"
}

#352: M. M. H. Shuvo, Y. M. Kassim, F. Bunyak, O. V. Glinskii, L. Xie, V. V. Glinsky, V. H. Huxley, M. M. Thakkar, and K. Palaniappan

Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map

International Conference on Pattern Recognition (ICPR), pgs. 4317-4323, 2021

Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Shuvo:ICPR2021,
  author = "M. M. H. Shuvo and Y. M. Kassim and F. Bunyak and O. V. Glinskii and L. Xie and V. V. Glinsky and V. H. Huxley and M. M. Thakkar and K. Palaniappan",
  title = "Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map",
  year = 2021,
  booktitle = "International Conference on Pattern Recognition (ICPR)",
  pages = "4317-4323",
  doi = "10.1109/ICPR48806.2021.9412122"
}

#351: T. Hajilounezhad, R. Bao, K. Palaniappan, F. Bunyak, P. Calyam, and M. R. Maschmann

Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning

npj Computational Materials, Volume 7, pgs. 1--11, 2021

Bibtex, PlainText, Google Scholar

@article{CNT:NPJ2021,
  author = "T. Hajilounezhad and R. Bao and K. Palaniappan and F. Bunyak and P. Calyam and M. R. Maschmann",
  title = "Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning",
  year = 2021,
  journal = "npj Computational Materials",
  publisher = "Nature Publishing Group",
  volume = 7,
  number = 1,
  pages = "1--11"
}

#348: G. Rahmon, F. Bunyak, G. Seetharaman, and K. Palaniappan

Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation

2020 25th International Conference on Pattern Recognition (ICPR), pgs. 8125-8132, 2021

moving object, change detection, background subtraction, flux tensor, convolutional neural networks, u-net

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{2021a,
  author = "G. Rahmon and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation",
  year = 2021,
  journal = "2020 25th International Conference on Pattern Recognition (ICPR)",
  pages = "8125-8132",
  keywords = "moving object, change detection, background subtraction, flux tensor, convolutional neural networks, u-net",
  doi = "10.1109/ICPR48806.2021.9413211"
}

G. Rahmon, F. Bunyak, G. Seetharaman, and K. Palaniappan. Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation. 2020 25th International Conference on Pattern Recognition (ICPR), pages 8125-8132, 2021.

#347: Y. Y. Wang, O. V. Glinskii, F. Bunyak, and K. Palaniappan

Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images

5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021

vessel segmentation, confocal microscopy images, deep learning, semantic segmentation

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{2021a,
  author = "Y. Y. Wang and O. V. Glinskii and F. Bunyak and K. Palaniappan",
  title = "Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images",
  year = 2021,
  booktitle = "5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP",
  keywords = "vessel segmentation, confocal microscopy images, deep learning, semantic segmentation"
}

Y. Y. Wang, O. V. Glinskii, F. Bunyak, and K. Palaniappan. Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images. 5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021.

#346: Y. Y. Wang, K. Gao, A. Hamad, B. McCarthy, A. M. Kloepper, T. E. Lever, and F. Bunyak

Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning

5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021

oral diadochokinesis, syllable detection, mouth/jaw motion, deep learning

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{2021a,
  author = "Y. Y. Wang and K. Gao and A. Hamad and B. McCarthy and A. M. Kloepper and T. E. Lever and F. Bunyak",
  title = "Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning",
  year = 2021,
  booktitle = "5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP",
  keywords = "oral diadochokinesis, syllable detection, mouth/jaw motion, deep learning"
}

Y. Y. Wang, K. Gao, A. Hamad, B. McCarthy, A. M. Kloepper, T. E. Lever, and F. Bunyak. Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning. 5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021.

#344: G. Koerner, R. Surya, K. Palaniappan, P. Calyam, F. Bunyak, and M. R. Maschmann

In-situ scanning electron microscope chemical vapor deposition as a platform for nanomanufacturing insights

ASME International Mechanical Engineering Congress and Exposition, Volume 85567, pgs. V02BT02A052, 2021

Bibtex, PlainText, Google Scholar

@inproceedings{CNT:ASME2021,
  author = "G. Koerner and R. Surya and K. Palaniappan and P. Calyam and F. Bunyak and M. R. Maschmann",
  title = "In-situ scanning electron microscope chemical vapor deposition as a platform for nanomanufacturing insights",
  year = 2021,
  booktitle = "ASME International Mechanical Engineering Congress and Exposition",
  volume = 85567,
  pages = "V02BT02A052"
}

#343: R. Bao, N. Al-Shakarji, F. Bunyak, and K. Palaniappan

DMNet: Dual-stream marker guided deep network for dense cell segmentation and lineage tracking

IEEE International Conference on Computer Vision Workshops (ICCVW), pgs. 3354-3363, 2021

training, image segmentation, shape, microscopy, stem cells, cell detection, cell tracking, mitosis

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{RinaNoor2021:ICCV_MDNet,
  author = "R. Bao and N. Al-Shakarji and F. Bunyak and K. Palaniappan",
  title = "DMNet: Dual-stream marker guided deep network for dense cell segmentation and lineage tracking",
  year = 2021,
  booktitle = "IEEE International Conference on Computer Vision Workshops (ICCVW)",
  pages = "3354-3363",
  keywords = "training, image segmentation, shape, microscopy, stem cells, cell detection, cell tracking, mitosis",
  doi = "10.1109/ICCVW54120.2021.00375",
  url = "https://ieeexplore.ieee.org/document/9607707"
}

R. Bao, N. Al-Shakarji, F. Bunyak, and K. Palaniappan. DMNet: Dual-stream marker guided deep network for dense cell segmentation and lineage tracking. IEEE International Conference on Computer Vision Workshops (ICCVW), pages 3354-3363, 2021.

#342: External lab: N. R. Sinha, P. K. Balne, F. Bunyak, A. C. Hofmann, R. R. Lim, R. R. Mohan, and S. S. Chaurasia

Collagen matrix perturbations in corneal stroma of Ossabaw mini pigs with type 2 diabetes

Molecular vision, Volume 27, pgs. 666, 2021

Bibtex, PlainText, Google Scholar

@article{Chaurasia:MV2021,
  author = "N. R. Sinha and P. K. Balne and F. Bunyak and A. C. Hofmann and R. R. Lim and R. R. Mohan and S. S. Chaurasia",
  title = "Collagen matrix perturbations in corneal stroma of Ossabaw mini pigs with type 2 diabetes",
  year = 2021,
  journal = "Molecular vision",
  publisher = "Emory University",
  volume = 27,
  pages = "666"
}

#341: External lab: J. M. Robil, K. Gao, C. M. Neighbors, M. Boeding, F. M. Carland, F. Bunyak, and P. McSteen

grasviq: an image analysis framework for automatically quantifying vein number and morphology in grass leaves

The Plant Journal, Volume 107, pgs. 629--648, 2021

Bibtex, PlainText, Google Scholar

@article{Robil:Plant2021,
  author = "J. M. Robil and K. Gao and C. M. Neighbors and M. Boeding and F. M. Carland and F. Bunyak and P. McSteen",
  title = "grasviq: an image analysis framework for automatically quantifying vein number and morphology in grass leaves",
  year = 2021,
  journal = "The Plant Journal",
  publisher = "Wiley Online Library",
  volume = 107,
  number = 2,
  pages = "629--648"
}

#340: N. P. Nguyen, I. Ersoy, J. Gotberg, F. Bunyak, and T. A. White

DRPnet: automated particle picking in cryo-electron micrographs using deep regression

BMC Bioinformatics, Volume 22, pgs. 1--28, 2021

Bibtex, PlainText, Google Scholar

@article{Nguyen:BMC2021,
  author = "N. P. Nguyen and I. Ersoy and J. Gotberg and F. Bunyak and T. A. White",
  title = "DRPnet: automated particle picking in cryo-electron micrographs using deep regression",
  year = 2021,
  journal = "BMC Bioinformatics",
  publisher = "Springer",
  volume = 22,
  number = 1,
  pages = "1--28"
}

#337: N. Al-Shakarji, K. Gao, F. Bunyak, H. Aliakbarpour, E. Blasch, P. Narayaran, G. Seetharaman, and K. Palaniappan

Impact of georegistration accuracy on wide area motion imagery object detection and tracking

IEEE International Conference on Information Fusion (FUSION), pgs. 1-8, 2021

deep learning, fusion, wami, object detection, multi-object tracking, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor2021:Fusion_ImpactGeoReg,
  author = "N. Al-Shakarji and K. Gao and F. Bunyak and H. Aliakbarpour and E. Blasch and P. Narayaran and G. Seetharaman and K. Palaniappan",
  title = "Impact of georegistration accuracy on wide area motion imagery object detection and tracking",
  year = 2021,
  booktitle = "IEEE International Conference on Information Fusion (FUSION)",
  pages = "1-8",
  keywords = "deep learning, fusion, wami, object detection, multi-object tracking, dod",
  url = "https://ieeexplore.ieee.org/document/9626982"
}

N. Al-Shakarji, K. Gao, F. Bunyak, H. Aliakbarpour, E. Blasch, P. Narayaran, G. Seetharaman, and K. Palaniappan. Impact of georegistration accuracy on wide area motion imagery object detection and tracking. IEEE International Conference on Information Fusion (FUSION), pages 1-8, 2021.

#331: K. Gao, H. Aliakbarpour, J. Fraser, K. Nouduri, F. Bunyak, R. Massaro, G. Seetharaman, and K. Palaniappan

Local feature performance evaluation for Structure-from-Motion and multi-view stereo using simulated city-scale aerial imagery

IEEE Sensors Journal, Volume 21, pgs. 11615 - 11627, 2020

local feature detector, sift, surf, orb, akaze binary feature, mser, lf-net, superpoint, image matching, photogrammetry, camera pose, bundle adjustment, simulation environments, virtual reality, augmented reality

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{KeGao2020:Sensors_SfM_COLMAP,
  author = "K. Gao and H. Aliakbarpour and J. Fraser and K. Nouduri and F. Bunyak and R. Massaro and G. Seetharaman and K. Palaniappan",
  title = "Local feature performance evaluation for Structure-from-Motion and multi-view stereo using simulated city-scale aerial imagery",
  year = 2020,
  journal = "IEEE Sensors Journal",
  volume = 21,
  number = 10,
  pages = " 11615 - 11627",
  month = "Dec",
  keywords = "local feature detector, sift, surf, orb, akaze binary feature, mser, lf-net, superpoint, image matching, photogrammetry, camera pose, bundle adjustment, simulation environments, virtual reality, augmented reality",
  doi = "10.1109/JSEN.2020.3042810",
  url = "https://ieeexplore.ieee.org/abstract/document/9284524"
}

K. Gao, H. Aliakbarpour, J. Fraser, K. Nouduri, F. Bunyak, R. Massaro, G. Seetharaman, and K. Palaniappan. Local feature performance evaluation for Structure-from-Motion and multi-view stereo using simulated city-scale aerial imagery. IEEE Sensors Journal, volume 21, issue 10, pages  11615 - 11627, December 2020.

#330: Y. Y. Wang, A. S. Hamad, T. E. Lever, and F. Bunyak

Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pgs. 2167-2172, 2020

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar

@inproceedings{wang2020orthogonal,
  author = "Y. Y. Wang and A. S. Hamad and T. E. Lever and F. Bunyak",
  title = "Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos",
  year = 2020,
  booktitle = "2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)",
  pages = "2167-2172",
  month = "Jul",
  doi = "10.1109/EMBC44109.2020.9176149",
  url = "https://ieeexplore.ieee.org/abstract/document/9176149"
}

Y. Y. Wang, A. S. Hamad, T. E. Lever, and F. Bunyak. Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 2167-2172, July 2020.

#329: G. Yolcu, I. Oztel, S. Kazan, C. Oz, and F. Bunyak

Deep learning-based face analysis system for monitoring customer interest

Journal of Ambient Intelligence and Humanized Computing, Volume 11, pgs. 237--248, 2020

Bibtex, PlainText, Google Scholar

@article{Yolcu:Ambient2020,
  author = "G. Yolcu and I. Oztel and S. Kazan and C. Oz and F. Bunyak",
  title = "Deep learning-based face analysis system for monitoring customer interest",
  year = 2020,
  journal = "Journal of Ambient Intelligence and Humanized Computing",
  publisher = "Springer",
  volume = 11,
  number = 1,
  pages = "237--248"
}

#328: L. Welby, H. Caudill, G. Yitsege, A. Hamad, F. Bunyak, I. E. Zohn, T. Maynard, A.-S. LaMantia, D. Mendelowitz, and T. E. Lever

Persistent feeding and swallowing deficits in a mouse model of 22q11. 2 deletion syndrome

Frontiers in Neurology, pgs. 4, 2020

Bibtex, PlainText, Google Scholar

@article{Welby:FN2020,
  author = "L. Welby and H. Caudill and G. Yitsege and A. Hamad and F. Bunyak and I. E. Zohn and T. Maynard and A.-S. LaMantia and D. Mendelowitz and T. E. Lever",
  title = "Persistent feeding and swallowing deficits in a mouse model of 22q11. 2 deletion syndrome",
  year = 2020,
  journal = "Frontiers in Neurology",
  publisher = "Frontiers",
  pages = "4"
}

#327: M. M. Haney, A. Hamad, H. G. Woldu, M. Ciucci, N. Nichols, F. Bunyak, and T. E. Lever

Recurrent laryngeal nerve transection in mice results in translational upper airway dysfunction

Journal of Comparative Neurology, Volume 528, pgs. 574--596, 2020

Bibtex, PlainText, Google Scholar

@article{Haney:JCN2020,
  author = "M. M. Haney and A. Hamad and H. G. Woldu and M. Ciucci and N. Nichols and F. Bunyak and T. E. Lever",
  title = "Recurrent laryngeal nerve transection in mice results in translational upper airway dysfunction",
  year = 2020,
  journal = "Journal of Comparative Neurology",
  publisher = "Wiley Online Library",
  volume = 528,
  number = 4,
  pages = "574--596"
}

#326: O. Glinskii, V. Huxley, L. Xie, F. Bunyak, K. Palaniappan, and V. Glinsky

Microvascular Pachymeningeal Lymphatic Structures: Association with Blood Vessels and Cranial Bones

The FASEB Journal, Volume 34, pgs. 1--1, 2020

Bibtex, PlainText, Google Scholar

@article{Glinskii:FASEB2020,
  author = "O. Glinskii and V. Huxley and L. Xie and F. Bunyak and K. Palaniappan and V. Glinsky",
  title = "Microvascular Pachymeningeal Lymphatic Structures: Association with Blood Vessels and Cranial Bones",
  year = 2020,
  journal = "The FASEB Journal",
  publisher = "Wiley Online Library",
  volume = 34,
  number = S1,
  pages = "1--1"
}

#325: D. E. Kharismawati, H. A. Akbarpour, R. Aktar, F. Bunyak, K. Palaniappan, and T. Kazic

CorNet: Unsupervised Deep Homography Estimation for Agricultural Aerial Imagery

European Conference on Computer Vision Workshops (ECCVW), Springer International Publishing, pgs. 400--417, 2020

Bibtex, PlainText, Google Scholar

@inproceedings{Dewi:ECCVW2020,
  author = "D. E. Kharismawati and H. A. Akbarpour and R. Aktar and F. Bunyak and K. Palaniappan and T. Kazic",
  title = "CorNet: Unsupervised Deep Homography Estimation for Agricultural Aerial Imagery",
  year = 2020,
  booktitle = "European Conference on Computer Vision Workshops (ECCVW)",
  publisher = "Springer International Publishing",
  pages = "400--417"
}

#323: R. Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, and K. Palaniappan

Mosaicing of Dynamic Mesentery Video with Gradient Blending

IEEE International Conference on Image Processing (ICIP), pgs. 563-567, 2020

Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Aktar:ICIP2020,
  author = "R. Aktar and V. H. Huxley and G. Guidoboni and H. AliAkbarpour and F. Bunyak and K. Palaniappan",
  title = "Mosaicing of Dynamic Mesentery Video with Gradient Blending",
  year = 2020,
  booktitle = "IEEE International Conference on Image Processing (ICIP)",
  pages = "563-567",
  doi = "10.1109/ICIP40778.2020.9191045"
}

#320: K. Nouduri, F. Bunyak, S. Yao, H. Aliakbarpour, S. Agarwal, R. Rao, and K. Palaniappan

Deep Learning Based Landmark Matching For Aerial Geolocalization

2020 IEEE International Conference on Image Processing (ICIP), pgs. 1911-1915, 2020

Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Nouduri2020deep,
  author = "K. Nouduri and F. Bunyak and S. Yao and H. Aliakbarpour and S. Agarwal and R. Rao and K. Palaniappan",
  title = "Deep Learning Based Landmark Matching For Aerial Geolocalization",
  year = 2020,
  booktitle = "2020 IEEE International Conference on Image Processing (ICIP)",
  pages = "1911-1915",
  doi = "10.1109/ICIP40778.2020.9191342"
}

#318: G. Rahmon, F. Bunyak, G. Seetharaman, and K. Palaniappan

Evaluation of Different Decision Fusion Mechanisms for Robust Moving Object Detection

2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-7, 2020

Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Gani2020AIPR,
  author = "G. Rahmon and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Evaluation of Different Decision Fusion Mechanisms for Robust Moving Object Detection",
  year = 2020,
  booktitle = "2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  pages = "1-7",
  doi = "10.1109/AIPR50011.2020.9425078"
}

#317: A. S. Hamad, Y. Y. Wang, T. E. Lever, and F. Bunyak

Ensemble of deep cascades for detection of laryngeal adductor reflex events in Endoscopy Videos

IEEE International Conference on Image Processing (ICIP), pgs. 300-304, 2020

deep learning, laryngeal adductor reflex, automated detection, endoscopy video analysis

Abstract, Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Hamad:ICIP2020,
  author = "A. S. Hamad and Y. Y. Wang and T. E. Lever and F. Bunyak",
  title = "Ensemble of deep cascades for detection of laryngeal adductor reflex events in Endoscopy Videos",
  year = 2020,
  booktitle = "IEEE International Conference on Image Processing (ICIP)",
  pages = "300-304",
  keywords = "deep learning, laryngeal adductor reflex, automated detection, endoscopy video analysis",
  doi = "10.1109/ICIP40778.2020.9190792"
}

A. S. Hamad, Y. Y. Wang, T. E. Lever, and F. Bunyak. Ensemble of deep cascades for detection of laryngeal adductor reflex events in Endoscopy Videos. IEEE International Conference on Image Processing (ICIP), pages 300-304, 2020.

#316: H. Fan, D. Du, L. Wen, P. Zhu, Q. Hu, H. Ling, M. Shah, J. Pan, A. Schumann, B. Dong, D. Stadler, D. Xu, F. Bunyak, G. Seetharaman, G. Liu, V. Haritha, P. S. Hrishikesh, J. Han, K. Palaniappan, K. Zhu, L. W. Sommer, L. Zhang, L. Shine, M. Yao, N. Al-Shakarji, S. Li, T. Sun, W. Sai, W. Yu, X. Wu, X. Hong, X. Wei, X. Zhao, Y. Zhao, Y. Gong, Y. Yao, Y. He, Z. Zhao, Z. Xie, Z. Yang, Z. Xu, Z. Luo, and Z. Duan

VisDrone-MOT2020: The vision meets drone multiple object tracking challenge results

European Conference on Computer Vision (ECCV), Springer International Publishing, pgs. 713--727, 2020

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2020:ECCV_VisDrone_Challenge_report,
  author = "H. Fan and D. Du and L. Wen and P. Zhu and Q. Hu and H. Ling and M. Shah and J. Pan and A. Schumann and B. Dong and D. Stadler and D. Xu and F. Bunyak and G. Seetharaman and G. Liu and V. Haritha and P. S. Hrishikesh and J. Han and K. Palaniappan and K. Zhu and L. W. Sommer and L. Zhang and L. Shine and M. Yao and N. Al-Shakarji and S. Li and T. Sun and W. Sai and W. Yu and X. Wu and X. Hong and X. Wei and X. Zhao and Y. Zhao and Y. Gong and Y. Yao and Y. He and Z. Zhao and Z. Xie and Z. Yang and Z. Xu and Z. Luo and Z. Duan",
  title = "VisDrone-MOT2020: The vision meets drone multiple object tracking challenge results",
  year = 2020,
  booktitle = "European Conference on Computer Vision (ECCV)",
  publisher = "Springer International Publishing",
  pages = "713--727",
  keywords = "drone-based multiple object tracking, drone performance evaluation, multi-object tracking",
  doi = "10.1007/978-3-030-66823-5_43",
  url = "https://link.springer.com/chapter/10.1007/978-3-030-66823-5_43"
}

H. Fan, D. Du, L. Wen, P. Zhu, Q. Hu, H. Ling, M. Shah, J. Pan, A. Schumann, B. Dong, D. Stadler, D. Xu, F. Bunyak, G. Seetharaman, G. Liu, V. Haritha, P. S. Hrishikesh, J. Han, K. Palaniappan, K. Zhu, L. W. Sommer, L. Zhang, L. Shine, M. Yao, N. Al-Shakarji, S. Li, T. Sun, W. Sai, W. Yu, X. Wu, X. Hong, X. Wei, X. Zhao, Y. Zhao, Y. Gong, Y. Yao, Y. He, Z. Zhao, Z. Xie, Z. Yang, Z. Xu, Z. Luo, and Z. Duan. VisDrone-MOT2020: The vision meets drone multiple object tracking challenge results. European Conference on Computer Vision (ECCV), Springer International Publishing, pages 713--727, 2020.

#315: N. Al-Shakarji, E. Ufuktepe, F. Bunyak, H. Aliakbarpour, G. Seetharaman, and K. Palaniappan

Semi-automatic system for rapid annotation of moving objects in surveillance videos using deep detection and multi-object tracking techniques

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-6, 2020

ground truth generator, object annotation, deep learning, object detection, tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2020:AIPR_Video_annotation,
  author = "N. Al-Shakarji and E. Ufuktepe and F. Bunyak and H. Aliakbarpour and G. Seetharaman and K. Palaniappan",
  title = "Semi-automatic system for rapid annotation of moving objects in surveillance videos using deep detection and multi-object tracking techniques",
  year = 2020,
  booktitle = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  pages = "1-6",
  keywords = "ground truth generator, object annotation, deep learning, object detection, tracking",
  doi = "10.1109/AIPR50011.2020.9425339",
  url = "https://ieeexplore.ieee.org/abstract/document/9425339"
}

N. Al-Shakarji, E. Ufuktepe, F. Bunyak, H. Aliakbarpour, G. Seetharaman, and K. Palaniappan. Semi-automatic system for rapid annotation of moving objects in surveillance videos using deep detection and multi-object tracking techniques. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1-6, 2020.

#314: D. E. Kharismawati, H. A. Akbarpour, R. Aktar, F. Bunyak, K. Palaniappan, and T. Kazic

CorNet: unsupervised deep homography estimation for agricultural aerial imagery

ECCV 2020 Workshops, Volume LNCS 12540, 2020

unsupervised, convolutional neural network, homography estimation, uav freely flown, maize, mosaicking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{2020a,
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  title = "CorNet: unsupervised deep homography estimation for agricultural aerial imagery",
  year = 2020,
  journal = "ECCV 2020 Workshops",
  publisher = "Springer, Cham",
  volume = LNCS 12540,
  keywords = "unsupervised, convolutional neural network, homography estimation, uav freely flown, maize, mosaicking",
  doi = "10.1007/978-3-030-65414-6_28",
  url = "https://link.springer.com/chapter/10.1007/978-3-030-65414-6_28#citeas"
}

D. E. Kharismawati, H. A. Akbarpour, R. Aktar, F. Bunyak, K. Palaniappan, and T. Kazic. CorNet: unsupervised deep homography estimation for agricultural aerial imagery. ECCV 2020 Workshops, Springer, Cham, volume LNCS 12540, 2020.

#311: R. Aktar, D. E. Kharismawati, K. Palaniappan, H. Aliakbarpour, F. Bunyak, A. E. Stapleton, and T. Kazic

Robust mosaicking of maize fields from aerial imagery

Applications in Plant Sciences, Volume 8, pgs. e11387, 2020

aerial imagery, crop field imagery, maize, mosaicking, small unmanned aerial system (suas), video summarization

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  author = "R. Aktar and D. E. Kharismawati and K. Palaniappan and H. Aliakbarpour and F. Bunyak and A. E. Stapleton and T. Kazic",
  title = "Robust mosaicking of maize fields from aerial imagery",
  year = 2020,
  journal = "Applications in Plant Sciences",
  volume = 8,
  number = 8,
  pages = "e11387",
  keywords = "aerial imagery, crop field imagery, maize, mosaicking, small unmanned aerial system (suas), video summarization",
  doi = "https://doi.org/10.1002/aps3.11387",
  url = "https://bsapubs.onlinelibrary.wiley.com/doi/abs/10.1002/aps3.11387"
}

R. Aktar, D. E. Kharismawati, K. Palaniappan, H. Aliakbarpour, F. Bunyak, A. E. Stapleton, and T. Kazic. Robust mosaicking of maize fields from aerial imagery. Applications in Plant Sciences, volume 8, issue 8, pages e11387, 2020.

#308: R. Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, and K. Palaniappan

Mosaicing of dynamic mesentery video with gradient blending

IEEE International Conference on Image Processing (ICIP), pgs. 563--567, 2020

normalize cross correlation, gradient blending, mosaicing, registration, biomedical, mesentery

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@inproceedings{aktar2020mosaicing,
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  title = "Mosaicing of dynamic mesentery video with gradient blending",
  year = 2020,
  journal = "IEEE International Conference on Image Processing (ICIP)",
  pages = "563--567",
  keywords = "normalize cross correlation, gradient blending, mosaicing, registration, biomedical, mesentery",
  doi = "10.1109/ICIP40778.2020.9191045",
  url = "https://ieeexplore.ieee.org/abstract/document/9191045"
}

R. Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, and K. Palaniappan. Mosaicing of dynamic mesentery video with gradient blending. IEEE International Conference on Image Processing (ICIP), pages 563--567, 2020.

#307: O. V. Glinskii, V. H. Huxley, L. Xie, F. Bunyak, K. Palaniappan, and V. V. Glinsky

Complex non-sinus-associated pachymeningeal lymphatic structures: Interrelationship with blood microvasculature

Frontiers in physiology, Volume 10, pgs. 1-8, 2019

dura mater, lymphatics, vascular structures, microvessels, pachymeningeal

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@article{2019a,
  author = "O. V. Glinskii and V. H. Huxley and L. Xie and F. Bunyak and K. Palaniappan and V. V. Glinsky",
  title = "Complex non-sinus-associated pachymeningeal lymphatic structures: Interrelationship with blood microvasculature",
  year = 2019,
  journal = "Frontiers in physiology",
  publisher = "Frontiers",
  volume = 10,
  pages = "1-8",
  month = "Oct",
  keywords = "dura mater, lymphatics, vascular structures, microvessels, pachymeningeal",
  doi = "10.3389/fphys.2019.01364",
  url = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C26&q=Complex+Non-sinus-associated+Pachymeningeal+Lymphatic+Structures%3A+Interrelationship+With+Blood+Microvasculature&btnG="
}

O. V. Glinskii, V. H. Huxley, L. Xie, F. Bunyak, K. Palaniappan, and V. V. Glinsky. Complex non-sinus-associated pachymeningeal lymphatic structures: Interrelationship with blood microvasculature. Frontiers in physiology, Frontiers, volume 10, pages 1-8, October 2019.

#305: G. Yolcu, I. Oztel, S. Kazan, C. Oz, K. Palaniappan, T. E. Lever, and F. Bunyak

Facial expression recognition for monitoring neurological disorders based on convolutional neural network

Multimedia Tools and Applications, Volume 78, pgs. 31581-31603, 2019

facial component segmentation, facial expression recognition, convolutional neural network, deep learning

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{2019a,
  author = "G. Yolcu and I. Oztel and S. Kazan and C. Oz and K. Palaniappan and T. E. Lever and F. Bunyak",
  title = "Facial expression recognition for monitoring neurological disorders based on convolutional neural network",
  year = 2019,
  journal = "Multimedia Tools and Applications",
  publisher = "Springer",
  volume = 78,
  number = 22,
  pages = "31581-31603",
  month = "Jul",
  keywords = "facial component segmentation, facial expression recognition, convolutional neural network, deep learning",
  doi = "10.1007/s11042-019-07959-6",
  url = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C26&q=Facial+expression+recognition+for+monitoring+neurological+disorders+based+on+convolutional+neural+network&btnG="
}

G. Yolcu, I. Oztel, S. Kazan, C. Oz, K. Palaniappan, T. E. Lever, and F. Bunyak. Facial expression recognition for monitoring neurological disorders based on convolutional neural network. Multimedia Tools and Applications, Springer, volume 78, issue 22, pages 31581-31603, July 2019.

#301: K. Palaniappan, F. Bunyak, and S. S. Chaurasia

Image analysis for ophthalmology: segmentation and quantification of retinal vascular systems

Ocular Fluid Dynamics, Springer, pgs. 543--580, 2019

Bibtex, PlainText, Google Scholar

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  author = "K. Palaniappan and F. Bunyak and S. S. Chaurasia",
  title = "Image analysis for ophthalmology: segmentation and quantification of retinal vascular systems",
  year = 2019,
  booktitle = "Ocular Fluid Dynamics",
  publisher = "Springer",
  pages = "543--580"
}

#300: M. M. Haney, A. Hamad, E. Leary, F. Bunyak, and T. E. Lever

Automated quantification of vocal fold motion in a recurrent laryngeal nerve injury mouse model

The Laryngoscope, Volume 129, pgs. E247--E254, 2019

Bibtex, PlainText, Google Scholar

@article{Haney:Lar2019,
  author = "M. M. Haney and A. Hamad and E. Leary and F. Bunyak and T. E. Lever",
  title = "Automated quantification of vocal fold motion in a recurrent laryngeal nerve injury mouse model",
  year = 2019,
  journal = "The Laryngoscope",
  publisher = "Wiley Online Library",
  volume = 129,
  number = 7,
  pages = "E247--E254"
}

#299: K. C. Banks, D. E. Stalla, F. E. Bunyak, T. A. White, L. G. Schultz, and E. A. Giuliano

Comparison of two cleaning and sterilization protocols of diamond burr tips used in debridement for canine superficial chronic corneal epithelial defects

Veterinary Ophthalmology, Volume 22, pgs. 614--622, 2019

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  title = "Comparison of two cleaning and sterilization protocols of diamond burr tips used in debridement for canine superficial chronic corneal epithelial defects",
  year = 2019,
  journal = "Veterinary Ophthalmology",
  publisher = "Wiley Online Library",
  volume = 22,
  number = 5,
  pages = "614--622"
}

#298: A. Hamad, M. Haney, T. E. Lever, and F. Bunyak

Automated segmentation of the vocal folds in laryngeal endoscopy videos using deep convolutional regression networks

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pgs. 140--148, 2019

Abstract, Bibtex, PlainText, URL, Google Scholar

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  title = "Automated segmentation of the vocal folds in laryngeal endoscopy videos using deep convolutional regression networks",
  year = 2019,
  booktitle = "IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
  pages = "140--148",
  url = "https://openaccess.thecvf.com/content_CVPRW_2019/html/BIC/Hamad_Automated_Segmentation_of_the_Vocal_Folds_in_Laryngeal_Endoscopy_Videos_CVPRW_2019_paper.html"
}

A. Hamad, M. Haney, T. E. Lever, and F. Bunyak. Automated segmentation of the vocal folds in laryngeal endoscopy videos using deep convolutional regression networks. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 140--148, 2019.

#297: Y. Y. Wang, K. Gao, A. M. Kloepper, Y. Zhao, M. Kuruvilla-Dugdale, T. E. Lever, and F. Bunyak

DeepDDK: A deep learning based oral-diadochokinesis analysis software

IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), pgs. 1--4, 2019

diadochokinesis analysis, speech signal analysis, deep learning, event detection, event localization

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar

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  author = "Y. Y. Wang and K. Gao and A. M. Kloepper and Y. Zhao and M. Kuruvilla-Dugdale and T. E. Lever and F. Bunyak",
  title = "DeepDDK: A deep learning based oral-diadochokinesis analysis software",
  year = 2019,
  booktitle = "IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)",
  pages = "1--4",
  keywords = "diadochokinesis analysis, speech signal analysis, deep learning, event detection, event localization",
  doi = "10.1109/BHI.2019.8834506",
  url = "https://ieeexplore.ieee.org/abstract/document/8834506"
}

Y. Y. Wang, K. Gao, A. M. Kloepper, Y. Zhao, M. Kuruvilla-Dugdale, T. E. Lever, and F. Bunyak. DeepDDK: A deep learning based oral-diadochokinesis analysis software. IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), pages 1--4, 2019.

#296: L. Wen, P. Zhu, D. Du, X. Bian, H. Ling, Q. Hu, J. Zheng, T. Peng, X. Wang, Y. Zhang, L. Bo, H. Shi, R. Zhu, A. Jadhav, B. Dong, B. Lall, C. Liu, C. Zhang, D. Wang, F. Ni, F. Bunyak, G. Wang, G. Liu, G. Seetharaman, G. Li, H. Ardo, H. Zhang, H. Yu, H. Lu, J.-N. Hwang, J. Mu, J. Hu, K. Palaniappan, L. Chen, L. Ding, M. Lauer, M. Nilsson, N. M. Al-Shakarji, P. Mukherjee, Q. Huang, R. Laganiere, S. Chen, S. Pan, V. Kaushik, W. Shi, W. Tian, W. Li, X. Chen, X. Zhang, Y. Zhang, Y. Zhao, Y. Wang, Y. Song, Y. Yao, Z. Chen, Z. Xu, Z. Xiao, and Z. Tong

VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pgs. 189-198, 2019

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

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  author = "L. Wen and P. Zhu and D. Du and X. Bian and H. Ling and Q. Hu and J. Zheng and T. Peng and X. Wang and Y. Zhang and L. Bo and H. Shi and R. Zhu and A. Jadhav and B. Dong and B. Lall and C. Liu and C. Zhang and D. Wang and F. Ni and F. Bunyak and G. Wang and G. Liu and G. Seetharaman and G. Li and H. Ardo and H. Zhang and H. Yu and H. Lu and J.-N. Hwang and J. Mu and J. Hu and K. Palaniappan and L. Chen and L. Ding and M. Lauer and M. Nilsson and N. M. Al-Shakarji and P. Mukherjee and Q. Huang and R. Laganiere and S. Chen and S. Pan and V. Kaushik and W. Shi and W. Tian and W. Li and X. Chen and X. Zhang and Y. Zhang and Y. Zhao and Y. Wang and Y. Song and Y. Yao and Z. Chen and Z. Xu and Z. Xiao and Z. Tong",
  title = "VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results",
  year = 2019,
  booktitle = "Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)",
  pages = "189-198",
  keywords = "drone-based multiple object tracking, drone performance evaluation, multi-object tracking",
  doi = "10.1109/ICCVW.2019.00028",
  url = "https://openaccess.thecvf.com/content_ICCVW_2019/html/VISDrone/Wen_VisDrone-MOT2019_The_Vision_Meets_Drone_Multiple_Object_Tracking_Challenge_Results_ICCVW_2019_paper.html"
}

L. Wen, P. Zhu, D. Du, X. Bian, H. Ling, Q. Hu, J. Zheng, T. Peng, X. Wang, Y. Zhang, L. Bo, H. Shi, R. Zhu, A. Jadhav, B. Dong, B. Lall, C. Liu, C. Zhang, D. Wang, F. Ni, F. Bunyak, G. Wang, G. Liu, G. Seetharaman, G. Li, H. Ardo, H. Zhang, H. Yu, H. Lu, J.-N. Hwang, J. Mu, J. Hu, K. Palaniappan, L. Chen, L. Ding, M. Lauer, M. Nilsson, N. M. Al-Shakarji, P. Mukherjee, Q. Huang, R. Laganiere, S. Chen, S. Pan, V. Kaushik, W. Shi, W. Tian, W. Li, X. Chen, X. Zhang, Y. Zhang, Y. Zhao, Y. Wang, Y. Song, Y. Yao, Z. Chen, Z. Xu, Z. Xiao, and Z. Tong. VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pages 189-198, 2019.

#295: N. Al-Shakarji, F. Bunyak, H. Aliakbarpour, G. Seetharaman, and K. Palaniappan

Performance evaluation of semantic video compression using multi-cue object detection

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-8, 2019

deep learning, object detection, data compression, video surveillance, image motion analysis, saliency

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2019:AIPR_Video_compression,
  author = "N. Al-Shakarji and F. Bunyak and H. Aliakbarpour and G. Seetharaman and K. Palaniappan",
  title = "Performance evaluation of semantic video compression using multi-cue object detection",
  year = 2019,
  booktitle = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  pages = "1-8",
  keywords = "deep learning, object detection, data compression, video surveillance, image motion analysis, saliency",
  doi = "10.1109/AIPR47015.2019.9174601",
  url = "https://ieeexplore.ieee.org/abstract/document/9174601"
}

N. Al-Shakarji, F. Bunyak, H. Aliakbarpour, G. Seetharaman, and K. Palaniappan. Performance evaluation of semantic video compression using multi-cue object detection. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1-8, 2019.

#304: N. Al-Shakarji, F. Bunyak, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

Multi-cue vehicle detection for semantic video compression in georegistered aerial videos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pgs. 56-65, 2019

deep learning, object detection, data compression, video surveillance, image motion analysis

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor2019:CVPRW_Multi_cue,
  author = "N. Al-Shakarji and F. Bunyak and H. AliAkbarpour and G. Seetharaman and K. Palaniappan",
  title = "Multi-cue vehicle detection for semantic video compression in georegistered aerial videos",
  year = 2019,
  journal = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
  pages = "56-65",
  keywords = "deep learning, object detection, data compression, video surveillance, image motion analysis",
  url = "https://openaccess.thecvf.com/content_CVPRW_2019/html/DOAI/Al-Shakarji_Multi-Cue_Vehicle_Detection_for_Semantic_Video_Compression_in_Georegistered_Aerial_CVPRW_2019_paper.html"
}

N. Al-Shakarji, F. Bunyak, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan. Multi-cue vehicle detection for semantic video compression in georegistered aerial videos. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 56-65, 2019.

#278: R. Aktar, H. Aliakbarpour, F. Bunyak, G. Seetharaman, and K. Palaniappan

Performance evaluation of feature descriptors for aerial imagery mosaicking

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-7, 2018

features, mosaicing, performance evaluation, aerial video

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{218a,
  author = "R. Aktar and H. Aliakbarpour and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Performance evaluation of feature descriptors for aerial imagery mosaicking",
  year = 2018,
  journal = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  publisher = "IEEE",
  pages = "1-7",
  month = "Oct",
  keywords = "features, mosaicing, performance evaluation, aerial video",
  doi = "10.1109/AIPR.2018.8707402",
  url = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C26&q=Performance+Evaluation+of+Feature+Descriptors+for+Aerial+Imagery+Mosaicking&btnG="
}

R. Aktar, H. Aliakbarpour, F. Bunyak, G. Seetharaman, and K. Palaniappan. Performance evaluation of feature descriptors for aerial imagery mosaicking. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), IEEE, pages 1-7, October 2018.

#289: F. Bunyak, N. Shiraishi, K. Palaniappan, T. E. Lever, L. Avivi-Arber, and K. Takahashi

Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding

In Engineering in Medicine and Biology Society (EMBC), pgs. 580-583, 2018

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

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  author = "F. Bunyak and N. Shiraishi and K. Palaniappan and T.  E. Lever and L. Avivi-Arber and K. Takahashi",
  title = "Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding",
  year = 2018,
  journal = "In Engineering in Medicine and Biology Society (EMBC)",
  pages = "580-583",
  month = "Jul",
  url = "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787344/pdf/nihms935834.pdf"
}

F. Bunyak, N. Shiraishi, K. Palaniappan, T.  E. Lever, L. Avivi-Arber, and K. Takahashi. Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding. In Engineering in Medicine and Biology Society (EMBC), pages 580-583, July 2018.

#285: R. Aktar, H. AliAkbarpour, F. Bunyak, T. Kazic, G. Seetharaman, and K. Palaniappan

Geospatial content summarization of UAV aerial imagery using mosaicking

International Society for Optics and Photonics, Volume 10645, pgs. 106450I, 2018

aerial imagery, mosaicking, registration, summarization, feature based registration.

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

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  author = "R. Aktar and H. AliAkbarpour and F. Bunyak and T. Kazic and G. Seetharaman and K. Palaniappan",
  title = "Geospatial content summarization of UAV aerial imagery using mosaicking",
  year = 2018,
  journal = "International Society for Optics and Photonics",
  booktitle = "Geospatial Informatics, Motion Imagery, and Network Analytics VIII",
  volume = 10645,
  pages = "106450I",
  month = "Apr",
  keywords = "aerial imagery, mosaicking, registration, summarization, feature based registration.",
  url = "https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10645/106450I/Geospatial-content-summarization-of-UAV-aerial-imagery-using-mosaicking/10.1117/12.2309417.full?SSO=1"
}

R. Aktar, H. AliAkbarpour, F. Bunyak, T. Kazic, G. Seetharaman, and K. Palaniappan. Geospatial content summarization of UAV aerial imagery using mosaicking. International Society for Optics and Photonics, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, volume 10645, pages 106450I, April 2018.

#274: A. Bouix, N. Al-Shakarji, K. Gao, F. Bunyak, A. Chazot, A. Hafiane, and K. Palaniappan

Robust target tracking using adaptive color feature and likelihood fusion

International Society for Optics and Photonics, Volume 10645, pgs. 106450L, 2018

visual object tracking, staple, correlation filter, color name, fusion

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Bouix2018:AIPR_iSTAPLE,
  author = "A. Bouix and N. Al-Shakarji and K. Gao and F. Bunyak and A. Chazot and A. Hafiane and K. Palaniappan",
  title = "Robust target tracking using adaptive color feature and likelihood fusion",
  year = 2018,
  journal = "International Society for Optics and Photonics",
  booktitle = "Geospatial Informatics, Motion Imagery, and Network Analytics VIII",
  volume = 10645,
  pages = "106450L",
  month = "Apr",
  keywords = "visual object tracking, staple, correlation filter, color name, fusion",
  doi = "10.1117/12.2309807",
  url = "https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10645/106450L/Robust-target-tracking-using-adaptive-color-feature-and-likelihood-fusion/10.1117/12.2309807.full"
}

A. Bouix, N. Al-Shakarji, K. Gao, F. Bunyak, A. Chazot, A. Hafiane, and K. Palaniappan. Robust target tracking using adaptive color feature and likelihood fusion. International Society for Optics and Photonics, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, volume 10645, pages 106450L, April 2018.

#272: I. Oztel, G. Yolcu, I. Ersoy, T. A. White, and F. Bunyak

Deep learning approaches in electron microscopy imaging for mitochondria segmentation

International Journal of Data Mining and Bioinformatics, Volume 21, pgs. 91--106, 2018

Bibtex, PlainText, Google Scholar

@article{Oztel:IJDM2018,
  author = "I. Oztel and G. Yolcu and I. Ersoy and T. A. White and F. Bunyak",
  title = "Deep learning approaches in electron microscopy imaging for mitochondria segmentation",
  year = 2018,
  journal = "International Journal of Data Mining and Bioinformatics",
  publisher = "Inderscience Publishers (IEL)",
  volume = 21,
  number = 2,
  pages = "91--106"
}

#271: N. Akkaladevi, F. Bunyak, D. Stalla, T. A. White, and G. L. Hazelbauer

Flexible hinges in bacterial chemoreceptors

Journal of bacteriology, Volume 200, pgs. e00593--17, 2018

Bibtex, PlainText, Google Scholar

@article{Akkaladevi:JB2018,
  author = "N. Akkaladevi and F. Bunyak and D. Stalla and T. A. White and G. L. Hazelbauer",
  title = "Flexible hinges in bacterial chemoreceptors",
  year = 2018,
  journal = "Journal of bacteriology",
  publisher = "Am Soc Microbiol",
  volume = 200,
  number = 5,
  pages = "e00593--17"
}

#270: I. Oztel, G. Yolcu, C. Öz, S. Kazan, and F. Bunyak

iFER: facial expression recognition using automatically selected geometric eye and eyebrow features

Journal of Electronic Imaging, Volume 27, pgs. 023003, 2018

Bibtex, PlainText, Google Scholar

@article{Oztel:JEI2018,
  author = "I. Oztel and G. Yolcu and C. Öz and S. Kazan and F. Bunyak",
  title = "iFER: facial expression recognition using automatically selected geometric eye and eyebrow features",
  year = 2018,
  journal = "Journal of Electronic Imaging",
  publisher = "International Society for Optics and Photonics",
  volume = 27,
  number = 2,
  pages = "023003"
}

#269: A. Hamad, I. Ersoy, and F. Bunyak

Improving nuclei classification performance in H\&E stained tissue images using fully convolutional regression network and convolutional neural network

2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-6, 2018

Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Hamad:AIPR2018,
  author = "A. Hamad and I. Ersoy and F. Bunyak",
  title = "Improving nuclei classification performance in H\&E stained tissue images using fully convolutional regression network and convolutional neural network",
  year = 2018,
  booktitle = "2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  pages = "1-6",
  doi = "10.1109/AIPR.2018.8707397"
}

#268: R. Zheng, L. Liu, S. Zhang, C. Zheng, F. Bunyak, R. Xu, B. Li, and M. Sun

Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network

Biomedical Optics Express, Volume 9, pgs. 4863--4878, 2018

Bibtex, PlainText, Google Scholar

@article{Mingzhai:BOE2018,
  author = "R. Zheng and L. Liu and S. Zhang and C. Zheng and F. Bunyak and R. Xu and B. Li and M. Sun",
  title = "Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network",
  year = 2018,
  journal = "Biomedical Optics Express",
  publisher = "Optical Society of America",
  volume = 9,
  number = 10,
  pages = "4863--4878"
}

#267: N. P. Nguyen, I. Ersoy, T. White, and F. Bunyak

Automated particle picking in cryo-electron micrographs using deep regression

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pgs. 2453--2460, 2018

Bibtex, PlainText, Google Scholar

@inproceedings{Nguyen:BIBM2018,
  author = "N. P. Nguyen and I. Ersoy and T. White and F. Bunyak",
  title = "Automated particle picking in cryo-electron micrographs using deep regression",
  year = 2018,
  booktitle = "IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  pages = "2453--2460"
}

#266: P. Zhu, L. Wen, D. Du, X. Bian, H. Ling, Q. Hu, H. Wu, Q. Nie, H. Cheng, C. Liu, X. Liu, W. Ma, L. Wang, A. Schumann, D. Wang, D. Ortego, E. Luna, E. Michail, E. Bochinski, F. Ni, F. Bunyak, G. Zhang, G. Seetharaman, G. Li, H. Yu, I. Kompatsiaris, J. Zhao, J. Gao, J. M. Martinez, J. C. S. Miguel, K. Palaniappan, K. Avgerinakis, L. Sommer, M. Lauer, M. Liu, N. M. Al-Shakarji, O. Acatay, P. Giannakeris, Q. Zhao, Q. Ma, Q. Huang, S. Vrochidis, T. Sikora, T. Senst, W. Song, W. Tian, W. Zhang, Y. Zhao, Y. Bai, Y. Wu, Y. Wang, Y. Li, Z. Pi, and Z. Ma

VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results

Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor2018:ECCVW_Visdrone_Report,
  author = "P. Zhu and L. Wen and D. Du and X. Bian and H. Ling and Q. Hu and H. Wu and Q. Nie and H. Cheng and C. Liu and X. Liu and W. Ma and L. Wang and A. Schumann and D. Wang and D. Ortego and E. Luna and E. Michail and E. Bochinski and F. Ni and F. Bunyak and G. Zhang and G. Seetharaman and G. Li and H. Yu and I. Kompatsiaris and J. Zhao and J. Gao and J. M. Martinez and J. C. S. Miguel and K. Palaniappan and K. Avgerinakis and L. Sommer and M. Lauer and M. Liu and N. M. Al-Shakarji and O. Acatay and P. Giannakeris and Q. Zhao and Q. Ma and Q. Huang and S. Vrochidis and T. Sikora and T. Senst and W. Song and W. Tian and W. Zhang and Y. Zhao and Y. Bai and Y. Wu and Y. Wang and Y. Li and Z. Pi and Z. Ma",
  title = "VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results",
  year = 2018,
  booktitle = "Proceedings of the European Conference on Computer Vision (ECCV) Workshops",
  keywords = "drone-based multiple object tracking, drone performance evaluation, multi-object tracking",
  url = "https://openaccess.thecvf.com/content_eccv_2018_workshops/w27/html/Zhu_VisDrone-VDT2018_The_Vision_Meets_Drone_Video_Detection_and_Tracking_Challenge_ECCVW_2018_paper.html"
}

P. Zhu, L. Wen, D. Du, X. Bian, H. Ling, Q. Hu, H. Wu, Q. Nie, H. Cheng, C. Liu, X. Liu, W. Ma, L. Wang, A. Schumann, D. Wang, D. Ortego, E. Luna, E. Michail, E. Bochinski, F. Ni, F. Bunyak, G. Zhang, G. Seetharaman, G. Li, H. Yu, I. Kompatsiaris, J. Zhao, J. Gao, J. M. Martinez, J. C. S. Miguel, K. Palaniappan, K. Avgerinakis, L. Sommer, M. Lauer, M. Liu, N. M. Al-Shakarji, O. Acatay, P. Giannakeris, Q. Zhao, Q. Ma, Q. Huang, S. Vrochidis, T. Sikora, T. Senst, W. Song, W. Tian, W. Zhang, Y. Zhao, Y. Bai, Y. Wu, Y. Wang, Y. Li, Z. Pi, and Z. Ma. VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results. Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018.

#265: S. Lyu, M.-C. Chang, D. Du, W. Li, Y. Wei, M. D. Coco, P. Carcagnì, A. Schumann, B. Munjal, D.-Q. Dang, D.-H. Choi, E. Bochinski, F. Galasso, F. Bunyak, G. Seetharaman, J.-W. Baek, J. T. Lee, K. Palaniappan, K.-T. Lim, K. Moon, K.-J. Kim, L. Sommer, M. Brandlmaier, M.-S. Kang, M. Jeon, N. M. Al-Shakarji, O. Acatay, P.-K. Kim, S. Amin, T. Sikora, T. Dinh, T. Senst, V.-G. Che, Y.-C. Lim, Y.-m. Song, and Y.-S. Chung

UA-DETRAC 2018: Report of AVSS2018 & IWT4S challenge on advanced traffic monitoring

IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pgs. 1-6, 2018

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2018:UA-Detrac_report,
  author = "S. Lyu and M.-C. Chang and D. Du and W. Li and Y. Wei and M. D. Coco and P. Carcagnì and A. Schumann and B. Munjal and D.-Q. Dang and D.-H. Choi and E. Bochinski and F. Galasso and F. Bunyak and G. Seetharaman and J.-W. Baek and J. T. Lee and K. Palaniappan and K.-T. Lim and K. Moon and K.-J. Kim and L. Sommer and M. Brandlmaier and M.-S. Kang and M. Jeon and N. M. Al-Shakarji and O. Acatay and P.-K. Kim and S. Amin and T. Sikora and T. Dinh and T. Senst and V.-G. Che and Y.-C. Lim and Y.-m. Song and Y.-S. Chung",
  title = "UA-DETRAC 2018: Report of AVSS2018 & IWT4S challenge on advanced traffic monitoring",
  year = 2018,
  booktitle = "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
  pages = "1-6",
  doi = "10.1109/AVSS.2018.8639089",
  url = "https://ieeexplore.ieee.org/abstract/document/8639089"
}

S. Lyu, M.-C. Chang, D. Du, W. Li, Y. Wei, M. D. Coco, P. Carcagnì, A. Schumann, B. Munjal, D.-Q. Dang, D.-H. Choi, E. Bochinski, F. Galasso, F. Bunyak, G. Seetharaman, J.-W. Baek, J. T. Lee, K. Palaniappan, K.-T. Lim, K. Moon, K.-J. Kim, L. Sommer, M. Brandlmaier, M.-S. Kang, M. Jeon, N. M. Al-Shakarji, O. Acatay, P.-K. Kim, S. Amin, T. Sikora, T. Dinh, T. Senst, V.-G. Che, Y.-C. Lim, Y.-m. Song, and Y.-S. Chung. UA-DETRAC 2018: Report of AVSS2018 & IWT4S challenge on advanced traffic monitoring. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pages 1-6, 2018.

#282: N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

Multi-object tracking cascade with multi-step data association and occlusion handling

IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pgs. 1-6, 2018

multi-object tracking, tracking, occlusion handling, association

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2019:MOT_Cascade_Mulit_step,
  author = "N. Al-Shakarji and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Multi-object tracking cascade with multi-step data association and occlusion handling",
  year = 2018,
  journal = "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
  publisher = "IEEE",
  pages = "1-6",
  keywords = "multi-object tracking, tracking, occlusion handling, association",
  doi = "10.1109/AVSS.2018.8639321",
  url = "https://ieeexplore.ieee.org/abstract/document/8639321"
}

N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan. Multi-object tracking cascade with multi-step data association and occlusion handling. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), IEEE, pages 1-6, 2018.

#275: N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

Robust multi-object tracking for wide area motion imagery

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-5, 2018

tracking, wide area motion imagery, multi-object tracking, tracking-by-detection, data association

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2018:AIPR_MOT_WAMI,
  author = "N. Al-Shakarji and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Robust multi-object tracking for wide area motion imagery",
  year = 2018,
  journal = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  pages = "1-5",
  keywords = "tracking, wide area motion imagery, multi-object tracking, tracking-by-detection, data association",
  doi = "10.1109/AIPR.2018.8707377",
  url = "https://ieeexplore.ieee.org/abstract/document/8707377"
}

N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan. Robust multi-object tracking for wide area motion imagery. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1-5, 2018.

#291: N. M. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

A hybrid local and global multi-object tracking with semantic spatial and appearance modules

International Society for Optics and Photonics , Volume 10645, pgs. 106450B, 2018

multi-object tracking, tracking-by-detection, global data association, local data association, appearance modules

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{2018a,
  author = "N. M. Al-Shakarji and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "A hybrid local and global multi-object tracking with semantic spatial and appearance modules",
  year = 2018,
  journal = "International Society for Optics and Photonics  ",
  volume = 10645,
  pages = "106450B",
  keywords = "multi-object tracking, tracking-by-detection, global data association, local data association, appearance modules",
  url = "https://spiedigitallibrary.org/conference-proceedings-of-spie/10645/106450B/A-hybrid-local-and-global-multi-object-tracking-with-semantic/10.1117/12.2309315.short"
}

N. M. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan. A hybrid local and global multi-object tracking with semantic spatial and appearance modules. International Society for Optics and Photonics  , volume 10645, pages 106450B, 2018.

#261: G. Yolcu, I. Oztel, S. Kazan, C. Oz, K. Palaniappan, T. Lever, and F. Bunyak

Deep learning-based facial expression recognition for monitoring neurological disorders

EEE International Conference on Bioinformatics and Biomedicine (BIBM) , pgs. 1652-1657, 2017

convolutional neural networks, deep learning, facial component segmentation, facial expression recognition

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{2018a,
  author = "G. Yolcu and I. Oztel and S. Kazan and C. Oz and K. Palaniappan and T. Lever and F. Bunyak",
  title = "Deep learning-based facial expression recognition for monitoring neurological disorders",
  year = 2017,
  journal = "EEE International Conference on Bioinformatics and Biomedicine (BIBM) ",
  pages = "1652-1657",
  month = "Nov",
  keywords = "convolutional neural networks, deep learning, facial component segmentation, facial expression recognition",
  url = "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217907"
}

G. Yolcu, I. Oztel, S. Kazan, C. Oz, K. Palaniappan, T. Lever, and F. Bunyak. Deep learning-based facial expression recognition for monitoring neurological disorders. EEE International Conference on Bioinformatics and Biomedicine (BIBM) , pages 1652-1657, November 2017.

#255: K. Gao, T. White, K. Palaniappan, M. Warmund, and F. Bunyak

MUSeed: A mobile image analysis application for plant seed morphometry

IEEE International Conference on Image Processing, pgs. 2826-2830, 2017

plant seed morphometry, image analysis, mobile application

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{KeGao2017:ICIP_MUSeed,
  author = "K. Gao and T. White and K. Palaniappan and M. Warmund and F. Bunyak",
  title = "MUSeed: A mobile image analysis application for plant seed morphometry",
  year = 2017,
  journal = "IEEE International Conference on Image Processing",
  pages = "2826-2830",
  month = "Sep",
  keywords = "plant seed morphometry, image analysis, mobile application",
  doi = "10.1109/ICIP.2017.8296798",
  url = "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296798"
}

K. Gao, T. White, K. Palaniappan, M. Warmund, and F. Bunyak. MUSeed: A mobile image analysis application for plant seed morphometry. IEEE International Conference on Image Processing, pages 2826-2830, September 2017.

#243: N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-6, 2017

tracking, wide area motion imagery, kernelized correlation filter, discriminative modeling, ridge regression

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Noor2017:AIPR_KCLoFT,
  author = "N. Al-Shakarji and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling",
  year = 2017,
  booktitle = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  pages = "1-6",
  keywords = "tracking, wide area motion imagery, kernelized correlation filter, discriminative modeling, ridge regression",
  doi = "10.1109/AIPR.2017.8457953"
}

N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan. Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1-6, 2017.

#251: N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan

Robust multi-object tracking with semantic color correlation

IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pgs. 1-7, 2017

image color analysis, tracking, color, correlation, lighting, histograms.

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2017:AVSS_ColorCorMTX,
  author = "N. Al-Shakarji and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Robust multi-object tracking with semantic color correlation",
  year = 2017,
  journal = "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
  pages = "1-7",
  keywords = "image color analysis, tracking, color, correlation, lighting, histograms.",
  doi = "10.1109/AVSS.2017.8078507",
  url = "https://ieeexplore.ieee.org/abstract/document/8078507/"
}

N. Al-Shakarji, F. Bunyak, G. Seetharaman, and K. Palaniappan. Robust multi-object tracking with semantic color correlation. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pages 1-7, 2017.

#245: S. Lyui, M. Chang, D. Du, L. Wen, H. Qi, Y. Li, Y. Wei, L. K., T. Hu, M. DelCoco, P. Carcagnì, D. Anisimov, E. Bochinski, F. Galasso, F. Bunyak, G. Han, H. Ye, H. Wang, K. Palaniappan, K. Ozcan, L. W. L. Wang, M. Lauer, N. Watcharapinchai, N. Song, N. Al-Shakarji, S. Wang, S. Amin, S. Rujikietgumjorn, T. Khanova, T. Sikora, T. Kutschbach, V. Eiselein, W. Tian, X. Xue, X. Yu, Y. Lu, Y. Zheng, Y. Huang, and Y. Zhang

UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring

IEEE AVSS International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S), pgs. 1-7, 2017

multi-object tracking, tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2017:AVSS_UA_DETRAC_results,
  author = "S. Lyui and M. Chang and D. Du and L. Wen and H. Qi and Y. Li and Y. Wei and L. K. and T. Hu and M. DelCoco and P. Carcagnì and D. Anisimov and E. Bochinski and F. Galasso and F. Bunyak and G. Han and H. Ye and H. Wang and K. Palaniappan and K. Ozcan and L. W. L. Wang and M. Lauer and N. Watcharapinchai and N. Song and N. Al-Shakarji and S. Wang and S. Amin and S. Rujikietgumjorn and T. Khanova and T. Sikora and T. Kutschbach and V. Eiselein and W. Tian and X. Xue and X. Yu and Y. Lu and Y. Zheng and Y. Huang and Y. Zhang",
  title = "UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring",
  year = 2017,
  journal = "IEEE AVSS International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S)",
  pages = "1-7",
  keywords = "multi-object tracking, tracking",
  doi = "10.1109/AVSS.2017.8078560",
  url = "https://ieeexplore.ieee.org/document/8078560"
}

S. Lyui, M. Chang, D. Du, L. Wen, H. Qi, Y. Li, Y. Wei, L. K., T. Hu, M. DelCoco, P. Carcagnì, D. Anisimov, E. Bochinski, F. Galasso, F. Bunyak, G. Han, H. Ye, H. Wang, K. Palaniappan, K. Ozcan, L. W. L. Wang, M. Lauer, N. Watcharapinchai, N. Song, N. Al-Shakarji, S. Wang, S. Amin, S. Rujikietgumjorn, T. Khanova, T. Sikora, T. Kutschbach, V. Eiselein, W. Tian, X. Xue, X. Yu, Y. Lu, Y. Zheng, Y. Huang, and Y. Zhang. UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring. IEEE AVSS International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S), pages 1-7, 2017.

#227: External lab: L. Alzubaidi, I. Ersoy, D. Shin, and F. Bunyak

Nucleus Detection in H&E Images with Fully Convolutional Regression Networks

Proc. First International Workshop on Deep Learning for Pattern Recognition (DLPR), 2016

Bibtex, PlainText, Google Scholar

@inproceedings{Alzubaidi:histopathology-nucleus-deeplearning-2016b,
  author = "L. Alzubaidi and I. Ersoy and D. Shin and F. Bunyak",
  title = "Nucleus Detection in H&E Images with Fully Convolutional Regression Networks",
  year = 2016,
  journal = "Proc. First International Workshop on Deep Learning for Pattern Recognition (DLPR)",
  month = "Dec"
}

#230: K. Palaniappan, M. Poostchi, H. Aliakbarpour, R. Viguier, J. Fraser, F. Bunyak, A. Basharat, S. Suddarth, E. Blasch, R. Rao, and G. Seetharaman

Moving object detection for vehicle tracking in wide area motion imagery using 4D filtering

Proc. IEEE International Conference on Pattern Recognition (ICPR), 2016

wami, tracking

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{Poostchi_2016_ICPR_Tracking,
  author = "K. Palaniappan and M. Poostchi and H. Aliakbarpour and R. Viguier and J. Fraser and F. Bunyak and A. Basharat and S. Suddarth and E. Blasch and R. Rao and G. Seetharaman",
  title = "Moving object detection for vehicle tracking in wide area motion imagery using 4D filtering",
  year = 2016,
  journal = "Proc. IEEE International Conference on Pattern Recognition (ICPR)",
  month = "Dec",
  keywords = "wami, tracking",
  url = "http://icpr2016.org/"
}

K. Palaniappan, M. Poostchi, H. Aliakbarpour, R. Viguier, J. Fraser, F. Bunyak, A. Basharat, S. Suddarth, E. Blasch, R. Rao, and G. Seetharaman. Moving object detection for vehicle tracking in wide area motion imagery using 4D filtering. Proc. IEEE International Conference on Pattern Recognition (ICPR), December 2016.

#222: G. Seetharaman, K. Palaniappan, F. Bunyak, and R. Wang

System and method for static and moving object detection

US Patent 9,454,819, 2016

flux tensor, object detection, ftsg, patent

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@patent{Guna:Patent_FTSG_2016,
  author = "G. Seetharaman and K. Palaniappan and F. Bunyak and R. Wang",
  title = "System and method for static and moving object detection",
  year = 2016,
  journal = "US Patent 9,454,819",
  month = "Sep",
  keywords = "flux tensor, object detection, ftsg, patent",
  url = "https://www.google.com/patents/US9454819"
}

G. Seetharaman, K. Palaniappan, F. Bunyak, and R. Wang. System and method for static and moving object detection. US Patent 9,454,819, September 2016.

#223: M. Poostchi, H. Aliakbarpour, R. Viguier, F. Bunyak, K. Palaniappan, and G. Seetharaman

Semantic depth map fusion for moving vehicle detection in aerial video

Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pgs. 32-40, 2016

wami, tracking, fmv, features, motion, image analysis

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Poostchi_2016_CVPR_Workshops,
  author = "M. Poostchi and H. Aliakbarpour and R. Viguier and F. Bunyak and K. Palaniappan and G. Seetharaman",
  title = "Semantic depth map fusion for moving vehicle detection in aerial video",
  year = 2016,
  journal = "Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops",
  pages = "32-40",
  month = "Jul",
  keywords = "wami, tracking, fmv, features, motion, image analysis",
  url = "http://www.cv-foundation.org//openaccess/content_cvpr_2016_workshops/w25/papers/Poostchi_Semantic_Depth_Map_CVPR_2016_paper.pdf"
}

M. Poostchi, H. Aliakbarpour, R. Viguier, F. Bunyak, K. Palaniappan, and G. Seetharaman. Semantic depth map fusion for moving vehicle detection in aerial video. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 32-40, July 2016.

#218: M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, L. Cehovin, T. Vojir, G. Häger, A. Lukezic, G. Fernandez, A. Gupta, A. Petrosino, A. Memarmoghadam, A. Garcia-Martin, A. S. Montero, A. Vedaldi, A. Robinson, A. J. Ma, A. Varfolomieiev, A. Alatan, A. Erdem, B. Ghanem, B. Liu, B. Han, B. Martinez, C.-M. Chang, C. Xu, C. Sun, D. Kim, D. Chen, D. Du, D. Mishra, D.-Y. Yeung, E. Gundogdu, E. Erdem, F. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Roffo, G. R. K. S. Subrahmanyam, G. Bastos, G. Seetharaman, H. Medeiros, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lu, H. Lee, H. Nam, H. J. Chang, I. Drummond, J. Valmadre, J.-c. Jeong, J.-i. Cho, J.-Y. Lee, J. Zhu, J. Feng, J. Gao, J. Y. Choi, J. Xiao, J.-W. Kim, J. Jeong, J. F. Henriques, J. Lang, J. Choi, J. M. Martinez, J. Xing, J. Gao, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Qin, L. Wang, L. Wen, L. Bertinetto, M. K. Rapuru, M. Poostchi, M. Maresca, M. Danelljan, M. Mueller, M. Zhang, M. Arens, M. Valstar, M. Tang, M. Baek, M. H. Khan, N. Wang, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. Moallem, P. Senna, P. H. S. Torr, P. C. Yuen, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, R. Stolkin, R. Walsh, S. B. Krah, S. Li, S. Zhang, S. Yao, S. Hadfield, S. Melzi, S. Lyu, S. Li, S. Becker, S. Golodetz, S. Kakanuru, S. Choi, T. Hu, T. Mauthner, T. Zhang, T. Pridmore, V. Santopietro, W. Hu, W. Li, W. Hübner, X. Lan, X. Wang, X. Li, Y. Li, Y. Demiris, Y. Wang, Y. Qi, Z. Yuan, Z. Cai, Z. Xu, Z. He, and Z. Chi

The visual object tracking VOT2016 challenge results

European Conference on Computer Vision Workshop (ECCVW), pgs. 777--823, 2016

performance, evaluation, short-term, single-object trackers, vot

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor:ECCV_VOT_report,
author = "M. Kristan and A. Leonardis and J. Matas and M. Felsberg and R. Pflugfelder and L. Cehovin and T. Vojir and G. Häger and A. Lukezic and G. Fernandez and A. Gupta and A. Petrosino and A. Memarmoghadam and A. Garcia-Martin and A. S. Montero and A. Vedaldi and A. Robinson and A. J. Ma and A. Varfolomieiev and A. Alatan and A. Erdem and B. Ghanem and B. Liu and B. Han and B. Martinez and C.-M. Chang and C. Xu and C. Sun and D. Kim and D. Chen and D. Du and D. Mishra and D.-Y. Yeung and E. Gundogdu and E. Erdem and F. Khan and F. Porikli and F. Zhao and F. Bunyak and F. Battistone and G. Zhu and G. Roffo and G. R. K. S. Subrahmanyam and G. Bastos and G. Seetharaman and H. Medeiros and H. Li and H. Qi and H. Bischof and H. Possegger and H. Lu and H. Lee and H. Nam and H. J. Chang and I. Drummond and J. Valmadre and J.-c. Jeong and J.-i. Cho and J.-Y. Lee and J. Zhu and J. Feng and J. Gao and J. Y. Choi and J. Xiao and J.-W. Kim and J. Jeong and J. F. Henriques and J. Lang and J. Choi and J. M. Martinez and J. Xing and J. Gao and K. Palaniappan and K. Lebeda and K. Gao and K. Mikolajczyk and L. Qin and L. Wang and L. Wen and L. Bertinetto and M. K. Rapuru and M. Poostchi and M. Maresca and M. Danelljan and M. Mueller and M. Zhang and M. Arens and M. Valstar and M. Tang and M. Baek and M. H. Khan and N. Wang and N. Fan and N. Al-Shakarji and O. Miksik and O. Akin and P. Moallem and P. Senna and P. H. S. Torr and P. C. Yuen and Q. Huang and R. Martin-Nieto and R. Pelapur and R. Bowden and R. Laganière and R. Stolkin and R. Walsh and S. B. Krah and S. Li and S. Zhang and S. Yao and S. Hadfield and S. Melzi and S. Lyu and S. Li and S. Becker and S. Golodetz and S. Kakanuru and S. Choi and T. Hu and T. Mauthner and T. Zhang and T. Pridmore and V. Santopietro and W. Hu and W. Li and W. Hübner and X. Lan and X. Wang and X. Li and Y. Li and Y. Demiris and Y. Wang and Y. Qi and Z. Yuan and Z. Cai and Z. Xu and Z. He and Z. Chi",
title = "The visual object tracking VOT2016 challenge results",
year = 2016,
booktitle = "European Conference on Computer Vision Workshop (ECCVW)",
pages = "777--823",
keywords = "performance, evaluation, short-term, single-object trackers, vot",
url = "https://link.springer.com/chapter/10.1007/978-3-319-48881-3_54"
}

M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, L. Cehovin, T. Vojir, G. Häger, A. Lukezic, G. Fernandez, A. Gupta, A. Petrosino, A. Memarmoghadam, A. Garcia-Martin, A. S. Montero, A. Vedaldi, A. Robinson, A. J. Ma, A. Varfolomieiev, A. Alatan, A. Erdem, B. Ghanem, B. Liu, B. Han, B. Martinez, C.-M. Chang, C. Xu, C. Sun, D. Kim, D. Chen, D. Du, D. Mishra, D.-Y. Yeung, E. Gundogdu, E. Erdem, F. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Roffo, G. R. K. S. Subrahmanyam, G. Bastos, G. Seetharaman, H. Medeiros, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lu, H. Lee, H. Nam, H. J. Chang, I. Drummond, J. Valmadre, J.-c. Jeong, J.-i. Cho, J.-Y. Lee, J. Zhu, J. Feng, J. Gao, J. Y. Choi, J. Xiao, J.-W. Kim, J. Jeong, J. F. Henriques, J. Lang, J. Choi, J. M. Martinez, J. Xing, J. Gao, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Qin, L. Wang, L. Wen, L. Bertinetto, M. K. Rapuru, M. Poostchi, M. Maresca, M. Danelljan, M. Mueller, M. Zhang, M. Arens, M. Valstar, M. Tang, M. Baek, M. H. Khan, N. Wang, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. Moallem, P. Senna, P. H. S. Torr, P. C. Yuen, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, R. Stolkin, R. Walsh, S. B. Krah, S. Li, S. Zhang, S. Yao, S. Hadfield, S. Melzi, S. Lyu, S. Li, S. Becker, S. Golodetz, S. Kakanuru, S. Choi, T. Hu, T. Mauthner, T. Zhang, T. Pridmore, V. Santopietro, W. Hu, W. Li, W. Hübner, X. Lan, X. Wang, X. Li, Y. Li, Y. Demiris, Y. Wang, Y. Qi, Z. Yuan, Z. Cai, Z. Xu, Z. He, and Z. Chi. The visual object tracking VOT2016 challenge results. European Conference on Computer Vision Workshop (ECCVW), pages 777--823, 2016.

#217: M. Felsberg, M. Kristan, J. Matas, A. Leonardis, R. Pflugfelder, G. Häger, A. Berg, A. Eldesokey, J. Ahlberg, L. Cehovin, T. Vojir, A. Lukezic, G. Fernandez, A. Petrosino, A. Garcia-Martin, A. S. Montero, A. Varfolomieiev, A. Erdem, B. Han, C.-M. Chang, D. Du, E. Erdem, F. S. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Seetharaman, H. Li, H. Qi, H. Bischof, H. Possegger, H. Nam, J. Valmadre, J. Zhu, J. Feng, J. Lang, J. M. Martinez, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Wen, L. Bertinetto, M. Poostchi, M. Maresca, M. Danelljan, M. Arens, M. Tang, M. Baek, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. H. S. Torr, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, S. B. Krah, S. Li, S. Yao, S. Hadfield, S. Lyu, S. Becker, S. Golodetz, T. Hu, T. Mauthner, V. Santopietro, W. Li, W. Hübner, X. Li, Y. Li, Z. Xu, and Z. He

The thermal infrared visual object tracking VOT-TIR2016 challenge results

European Conference on Computer Vision Workshop (ECCVW), pgs. 824--849, 2016

performance, evaluation, object tracking, thermal, ir, vot

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor2016:ECCV_Thermal_VOT_report,
author = "M. Felsberg and M. Kristan and J. Matas and A. Leonardis and R. Pflugfelder and G. Häger and A. Berg and A. Eldesokey and J. Ahlberg and L. Cehovin and T. Vojir and A. Lukezic and G. Fernandez and A. Petrosino and A. Garcia-Martin and A. S. Montero and A. Varfolomieiev and A. Erdem and B. Han and C.-M. Chang and D. Du and E. Erdem and F. S. Khan and F. Porikli and F. Zhao and F. Bunyak and F. Battistone and G. Zhu and G. Seetharaman and H. Li and H. Qi and H. Bischof and H. Possegger and H. Nam and J. Valmadre and J. Zhu and J. Feng and J. Lang and J. M. Martinez and K. Palaniappan and K. Lebeda and K. Gao and K. Mikolajczyk and L. Wen and L. Bertinetto and M. Poostchi and M. Maresca and M. Danelljan and M. Arens and M. Tang and M. Baek and N. Fan and N. Al-Shakarji and O. Miksik and O. Akin and P. H. S. Torr and Q. Huang and R. Martin-Nieto and R. Pelapur and R. Bowden and R. Laganière and S. B. Krah and S. Li and S. Yao and S. Hadfield and S. Lyu and S. Becker and S. Golodetz and T. Hu and T. Mauthner and V. Santopietro and W. Li and W. Hübner and X. Li and Y. Li and Z. Xu and Z. He",
title = "The thermal infrared visual object tracking VOT-TIR2016 challenge results",
year = 2016,
booktitle = "European Conference on Computer Vision Workshop (ECCVW)",
pages = "824--849",
keywords = "performance, evaluation, object tracking, thermal, ir, vot",
url = "https://link.springer.com/chapter/10.1007/978-3-319-48881-3_55"
}

M. Felsberg, M. Kristan, J. Matas, A. Leonardis, R. Pflugfelder, G. Häger, A. Berg, A. Eldesokey, J. Ahlberg, L. Cehovin, T. Vojir, A. Lukezic, G. Fernandez, A. Petrosino, A. Garcia-Martin, A. S. Montero, A. Varfolomieiev, A. Erdem, B. Han, C.-M. Chang, D. Du, E. Erdem, F. S. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Seetharaman, H. Li, H. Qi, H. Bischof, H. Possegger, H. Nam, J. Valmadre, J. Zhu, J. Feng, J. Lang, J. M. Martinez, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Wen, L. Bertinetto, M. Poostchi, M. Maresca, M. Danelljan, M. Arens, M. Tang, M. Baek, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. H. S. Torr, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, S. B. Krah, S. Li, S. Yao, S. Hadfield, S. Lyu, S. Becker, S. Golodetz, T. Hu, T. Mauthner, V. Santopietro, W. Li, W. Hübner, X. Li, Y. Li, Z. Xu, and Z. He. The thermal infrared visual object tracking VOT-TIR2016 challenge results. European Conference on Computer Vision Workshop (ECCVW), pages 824--849, 2016.

#233: Z. Al-Milaji, I. Ersoy, K. Palaniappan, and F. Bunyak

Hybrid Deep Learning Framework for the Classification of Epithelial and Stromal Tissues in H&E Images

Proc. First International Workshop on Deep Learning for Pattern Recognition (DLPR), 2016

deep learning, histopathology, segmentation

Bibtex, PlainText, URL, Google Scholar

@inproceedings{Al-Milaji:histopathology-deeplearning-2016a,
  author = "Z. Al-Milaji and I. Ersoy and K. Palaniappan and F. Bunyak",
  title = "Hybrid Deep Learning Framework for the Classification of Epithelial and Stromal Tissues in H&E Images",
  year = 2016,
  journal = "Proc. First International Workshop on Deep Learning for Pattern Recognition (DLPR)",
  keywords = "deep learning, histopathology, segmentation",
  url = "http://dlpr2016.csp.escience.cn/dct/page/70005"
}

#239: N. Al-Shakarji, F. Bunyak, and K. Palaniappan

CS-LOFT: Color and scale adaptive tracking using Bhattacharyya distance and max pooling consistency

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2016

color, tracking, features, single object tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor:Color-LOFT-AIPR-2016,
  author = "N. Al-Shakarji and F. Bunyak and K. Palaniappan",
  title = "CS-LOFT: Color and scale adaptive tracking using Bhattacharyya distance and max pooling consistency",
  year = 2016,
  journal = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  keywords = "color, tracking, features, single object tracking",
  doi = "10.1109/AIPR.2016.8010604",
  url = "https://ieeexplore.ieee.org/abstract/document/8010604"
}

N. Al-Shakarji, F. Bunyak, and K. Palaniappan. CS-LOFT: Color and scale adaptive tracking using Bhattacharyya distance and max pooling consistency. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2016.

#237: External lab: K. M. Gronkiewicz, E. A. Giuliano, K. Kuroki, F. Bunyak, A. Sharma, L. B. C. Teixeira, C. W. Hamm, and R. R. Mohan

Development of a novel in vivo corneal fibrosis model in the dog

Experimental Eye Research, Volume 143, pgs. 75-88, 2016

eye, biomedical, image analysis

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar

@article{Bunyak:Eye-Hessian-2016,
  author = "K. M. Gronkiewicz and E. A. Giuliano and K. Kuroki and F. Bunyak and A. Sharma and L. B. C. Teixeira and C. W. Hamm and R. R. Mohan",
  title = "Development of a novel in vivo corneal fibrosis model in the dog",
  year = 2016,
  journal = "Experimental Eye Research",
  volume = 143,
  pages = "75-88",
  keywords = "eye, biomedical, image analysis",
  doi = "10.1016/j.exer.2015.09.010",
  url = "http://www.sciencedirect.com/science/article/pii/S0014483515300312"
}

K. M. Gronkiewicz, E. A. Giuliano, K. Kuroki, F. Bunyak, A. Sharma, L. B. C. Teixeira, C. W. Hamm, and R. R. Mohan. Development of a novel in vivo corneal fibrosis model in the dog. Experimental Eye Research, volume 143, pages 75-88, 2016.

#193: M. Kristan, J. Matas, A. Leonardis, M. Felsberg, .., R. Pelapur, K. Palaniappan, F. Bunyak, M. Poostchi, S. Yao, and K. Gao

The Visual Object Tracking VOT2015 challenge results

IEEE International Conference on Computer Vision Workshops (ICCVW), pgs. 564-586, 2015

wami, tracking, fmv, features, motion, image analysis

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Kristan2015:ICCVW_VOT2015,
  author = "M. Kristan and J. Matas and A. Leonardis and M. Felsberg and .. and R. Pelapur and K. Palaniappan and F. Bunyak and M. Poostchi and S. Yao and K. Gao",
  title = "The Visual Object Tracking VOT2015 challenge results",
  year = 2015,
  journal = "IEEE International Conference on Computer Vision Workshops (ICCVW)",
  pages = "564-586",
  month = "Dec",
  keywords = "wami, tracking, fmv, features, motion, image analysis",
  doi = "10.1109/ICCVW.2015.79",
  url = "http://www.votchallenge.net/vot2015/program.html"
}

M. Kristan, J. Matas, A. Leonardis, M. Felsberg, .., R. Pelapur, K. Palaniappan, F. Bunyak, M. Poostchi, S. Yao, and K. Gao. The Visual Object Tracking VOT2015 challenge results. IEEE International Conference on Computer Vision Workshops (ICCVW), pages 564-586, December 2015.

#209: R. Viguier, C. C. Lin, H. AliAkbarpour, F. Bunyak, S. Pankanti, G. Seetharaman, and K. Palaniappan

Automatic video content summarization using geospatial mosaics of aerial imagery

IEEE International Symposium on Multimedia (ISM), pgs. 5pp, 2015

video summarization, mosaicing, geospatial

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Raphael:summarization-ISM-2015,,
  author = "R. Viguier and C. C. Lin and H. AliAkbarpour and F. Bunyak and S. Pankanti and G. Seetharaman and K. Palaniappan",
  title = "Automatic video content summarization using geospatial mosaics of aerial imagery",
  year = 2015,
  journal = "IEEE International Symposium on Multimedia (ISM)",
  pages = "5pp",
  month = "Dec",
  keywords = "video summarization, mosaicing, geospatial",
  doi = "10.1109/ISM.2015.124",
  url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7440962"
}

R. Viguier, C. C. Lin, H. AliAkbarpour, F. Bunyak, S. Pankanti, G. Seetharaman, and K. Palaniappan. Automatic video content summarization using geospatial mosaics of aerial imagery. IEEE International Symposium on Multimedia (ISM), pages 5pp, December 2015.

#196: R. Viguier, C. C. Lin, K. Swaminathan, A. Vega, A. Buyuktosunoglu, S. Pankanti, P. Bose, H. Akbarpour, F. Bunyak, K. Palaniappan, and G. Seetharaman

Resilient mobile cognition: Algorithms, innovations, and architectures

IEEE International Conference on Computer Design (ICCD), pgs. 4pp, 2015

video summarization, mosaicing, geospatial, mobile, cognition

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Raphael:Mobile-ICCD-2015,
  author = "R. Viguier and C. C. Lin and K. Swaminathan and A. Vega and A. Buyuktosunoglu and S. Pankanti and P. Bose and H. Akbarpour and F. Bunyak and K. Palaniappan and G. Seetharaman",
  title = "Resilient mobile cognition: Algorithms, innovations, and architectures",
  year = 2015,
  journal = "IEEE International Conference on  Computer Design (ICCD)",
  pages = "4pp",
  month = "Oct",
  keywords = "video summarization, mosaicing, geospatial, mobile, cognition",
  url = "http://rpsonline.com.sg/rps2prod/iccd2015/pdf/I-002.pdf"
}

R. Viguier, C. C. Lin, K. Swaminathan, A. Vega, A. Buyuktosunoglu, S. Pankanti, P. Bose, H. Akbarpour, F. Bunyak, K. Palaniappan, and G. Seetharaman. Resilient mobile cognition: Algorithms, innovations, and architectures. IEEE International Conference on  Computer Design (ICCD), pages 4pp, October 2015.

#201: A. Haridas, F. Bunyak, and K. Palaniappan

Interactive segmentation relabeling for classification of whole-slide histopathology imagery

IEEE Int. Symposium on Computer-Based Medical Systems (CBMS), pgs. 84-87, 2015

visualization, big data, biomedical, histopathology

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Haridas:CBMS-2015,
  author = "A. Haridas and F. Bunyak and K. Palaniappan",
  title = "Interactive segmentation relabeling for classification of whole-slide histopathology imagery",
  year = 2015,
  booktitle = "IEEE Int. Symposium on Computer-Based Medical Systems (CBMS)",
  pages = "84-87",
  month = "Jun",
  keywords = "visualization, big data, biomedical, histopathology",
  doi = "10.1109/CBMS.2015.89",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7167462"
}

A. Haridas, F. Bunyak, and K. Palaniappan. Interactive segmentation relabeling for classification of whole-slide histopathology imagery. IEEE Int. Symposium on Computer-Based Medical Systems (CBMS), pages 84-87, June 2015.

#215: F. Bunyak, A. Hafiane, Z. Al-Milagi, I. Ersoy, A. Haridas, and K. Palaniappan

A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pgs. 450-453, 2015

biomedical, histopathology, segmentation, classification

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Bunyak:histo-seg-2015,
  author = "F. Bunyak and A. Hafiane and Z. Al-Milagi and I. Ersoy and A. Haridas and K. Palaniappan",
  title = "A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images",
  year = 2015,
  booktitle = "Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  pages = "450-453",
  keywords = "biomedical, histopathology, segmentation, classification",
  url = "http://cci.drexel.edu/ieeebibm/bibm2015/index.html"
}

F. Bunyak, A. Hafiane, Z. Al-Milagi, I. Ersoy, A. Haridas, and K. Palaniappan. A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images. Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 450-453, 2015.

#206: S. Thutupalli, M. Sun, F. Bunyak, K. Palaniappan, and J. W. Shaevitz

Directional reversals enable Myxococcus xanthus cells to produce collective one-dimensional streams during fruiting-body formation

Journal of The Royal Society Interface, Volume 12, pgs. 20150049, 2015

biomedical, cell tracking, microscopy

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Thutupalli:Myxococcus-Interface-2015,
  author = "S. Thutupalli and M. Sun and F. Bunyak and K. Palaniappan and J. W. Shaevitz",
  title = "Directional reversals enable Myxococcus xanthus cells to produce collective one-dimensional streams during fruiting-body formation",
  year = 2015,
  journal = "Journal of The Royal Society Interface",
  volume = 12,
  number = 109,
  pages = "20150049",
  keywords = "biomedical, cell tracking, microscopy",
  doi = "10.1098/rsif.2015.0049",
  url = "http://arxiv.org/pdf/1410.7230"
}

S. Thutupalli, M. Sun, F. Bunyak, K. Palaniappan, and J. W. Shaevitz. Directional reversals enable Myxococcus xanthus cells to produce collective one-dimensional streams during fruiting-body formation. Journal of The Royal Society Interface, volume 12, issue 109, pages 20150049, 2015.

#179: M. Sun, J. Huang, F. Bunyak, K. Gumpper, G. De, M. Sermersheim, G. Liu, P.-H. Lin, K. Palaniappan, and J. Ma

Superresolution microscope image reconstruction by spatiotemporal object decomposition and association: application in resolving t-tubule structure in skeletal muscle

Optics Express, Volume 22, pgs. 12160-12176, 2014

biomedical, image analysis

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Sun:Supreresolution-microscope-2014a,
  author = "M. Sun and J. Huang and F. Bunyak and K. Gumpper and G. De and M. Sermersheim and G. Liu and P.-H. Lin and K. Palaniappan and J. Ma",
  title = "Superresolution microscope image reconstruction by spatiotemporal object decomposition and association: application in resolving t-tubule structure in skeletal muscle",
  year = 2014,
  journal = "Optics Express",
  volume = 22,
  number = 10,
  pages = "12160-12176",
  month = "May",
  keywords = "biomedical, image analysis",
  doi = "10.1364/OE.22.012160",
  url = "http://www.opticsinfobase.org/oe/abstract.cfm?uri=oe-22-10-12160"
}

M. Sun, J. Huang, F. Bunyak, K. Gumpper, G. De, M. Sermersheim, G. Liu, P.-H. Lin, K. Palaniappan, and J. Ma. Superresolution microscope image reconstruction by spatiotemporal object decomposition and association: application in resolving t-tubule structure in skeletal muscle. Optics Express, volume 22, issue 10, pages 12160-12176, May 2014.

#177: Z. Hong, Z. Sun, M. Li, Z. Li, F. Bunyak, I. Ersoy, J. P. Trzeciakowski, M. C. Staiculescu, M. Jin, L. Martinez-Lemus, M. A. Hill, K. Palaniappan, and G. A. Meininger

Vasoactive agonists exert dynamic and coordinated effects on vascular smooth muscle cell elasticity, cytoskeletal remodelling and adhesion

The Journal of Physiology, Volume 592, pgs. 1249-1266, 2014

biomedical, vascular

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Hong:Vasoactive-Physiology-2014a,
  author = "Z. Hong and Z. Sun and M. Li and Z. Li and F. Bunyak and I. Ersoy and J. P. Trzeciakowski and M. C. Staiculescu and M. Jin and L. Martinez-Lemus and M. A. Hill and K. Palaniappan and G. A. Meininger",
  title = "Vasoactive agonists exert dynamic and coordinated effects on vascular smooth muscle cell elasticity, cytoskeletal remodelling and adhesion",
  year = 2014,
  journal = "The Journal of Physiology",
  volume = 592,
  pages = "1249-1266",
  month = "Mar",
  keywords = "biomedical, vascular",
  doi = "10.1113/jphysiol.2013.264929",
  url = "http://jp.physoc.org/content/592/6/1249.short"
}

Z. Hong, Z. Sun, M. Li, Z. Li, F. Bunyak, I. Ersoy, J. P. Trzeciakowski, M. C. Staiculescu, M. Jin, L. Martinez-Lemus, M. A. Hill, K. Palaniappan, and G. A. Meininger. Vasoactive agonists exert dynamic and coordinated effects on vascular smooth muscle cell elasticity, cytoskeletal remodelling and adhesion. The Journal of Physiology, volume 592, pages 1249-1266, March 2014.

#183: R. Pelapur, V. B. S. Prasath, F. Bunyak, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation

36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 4735-4738, 2014

multifocus, image fusion, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@inproceedings{Rengarajan:Multifocus-EMBS-2014,
  author = "R. Pelapur and V. B. S. Prasath and F. Bunyak and O. V. Glinskii and V. V. Glinsky and V. H. Huxley and K. Palaniappan",
  title = "Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation",
  year = 2014,
  booktitle = "36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "4735-4738",
  keywords = "multifocus, image fusion, vasculature, biomedical",
  doi = "10.1109/EMBC.2014.6944682",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/25571050"
}

R. Pelapur, V. B. S. Prasath, F. Bunyak, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan. Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation. 36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 4735-4738, 2014.

#180: R. Wang, F. Bunyak, G. Seetharaman, and K. Palaniappan

Static and moving object detection using flux tensor with split Gaussian models

Proc. of IEEE CVPR Workshop on Change Detection, 2014

ftsg, flux tensor, split gaussian, change detection

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Rui:FTSG-ChangeDetection-CVPRW-2014,
  author = "R. Wang and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Static and moving object detection using flux tensor with split Gaussian models",
  year = 2014,
  booktitle = "Proc. of IEEE CVPR Workshop on Change Detection",
  keywords = "ftsg, flux tensor, split gaussian, change detection",
  doi = "10.1109/CVPRW.2014.68",
  url = "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W12/papers/Wang_Static_and_Moving_2014_CVPR_paper.pdf"
}

R. Wang, F. Bunyak, G. Seetharaman, and K. Palaniappan. Static and moving object detection using flux tensor with split Gaussian models. Proc. of IEEE CVPR Workshop on Change Detection, 2014.

#166: V. B. S. Prasath, O. Haddad, F. Bunyak, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy

35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 6055-6058, 2013

segmentation, image enhancement, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Surya:EMBC-2013-vessel,
  author = "V. B. S. Prasath and O. Haddad and F. Bunyak and O. Glinskii and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy",
  year = 2013,
  booktitle = "35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "6055-6058",
  keywords = "segmentation, image enhancement, vasculature, biomedical"
}

V. B. S. Prasath, O. Haddad, F. Bunyak, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy. 35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 6055-6058, 2013.

#169: Z. Hong, I. Ersoy, M. Sun, F. Bunyak, P. Hampel, Z. Hong, Z. Sun, Z. Li, I. Levitan, G. A. Meininger, and K. Palaniappan

Influence of membrane cholesterol and substrate elasticity on endothelial cell spreading behavior

J. Biomedical Material Research Part A, 2013

cell segmentation, active contours, high content, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@article{Zhongqui:cell-spreading-2012,
  author = "Z. Hong and I. Ersoy and M. Sun and F. Bunyak and P. Hampel and Z. Hong and Z. Sun and Z. Li and I. Levitan and G. A. Meininger and K. Palaniappan",
  title = "Influence of membrane cholesterol and substrate elasticity on endothelial cell spreading behavior",
  year = 2013,
  journal = "J. Biomedical Material Research Part A",
  keywords = "cell segmentation, active contours, high content, biomedical",
  doi = "10.1002/jbm.a.34504",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/23239612"
}

Z. Hong, I. Ersoy, M. Sun, F. Bunyak, P. Hampel, Z. Hong, Z. Sun, Z. Li, I. Levitan, G. A. Meininger, and K. Palaniappan. Influence of membrane cholesterol and substrate elasticity on endothelial cell spreading behavior. J. Biomedical Material Research Part A, 2013.

#164: R. Pelapur, F. Bunyak, G. Seetharaman, and K. Palaniappan

Vehicle detection and orientation estimation using the Radon transform

Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8747, pgs. 87470I, 2013

wami, tracking, fmv, motion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Rengarajan:Orientation-estim_SPIE-2013,
  author = "R. Pelapur and F. Bunyak and G. Seetharaman and K. Palaniappan",
  title = "Vehicle detection and orientation estimation using the Radon transform",
  year = 2013,
  booktitle = "Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation)",
  volume = 8747,
  pages = "87470I",
  keywords = "wami, tracking, fmv, motion, dod",
  doi = "10.1117/12.2016407"
}

R. Pelapur, F. Bunyak, G. Seetharaman, and K. Palaniappan. Vehicle detection and orientation estimation using the Radon transform. Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), volume 8747, pages 87470I, 2013.

#173: M. Poostchi, F. Bunyak, and K. Palaniappan

Feature selection for appearance-based vehicle tracking in geospatial video

Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8747, pgs. 87470G, 2013

wami, tracking, fmv, features, motion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Mahdieh:FeatureSelection_SPIE-2013,
  author = "M. Poostchi and F. Bunyak and K. Palaniappan",
  title = "Feature selection for appearance-based vehicle tracking in geospatial video",
  year = 2013,
  booktitle = "Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation)",
  volume = 8747,
  pages = "87470G",
  keywords = "wami, tracking, fmv, features, motion, dod",
  doi = "10.1117/12.2015672"
}

M. Poostchi, F. Bunyak, and K. Palaniappan. Feature selection for appearance-based vehicle tracking in geospatial video. Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), volume 8747, pages 87470G, 2013.

#160: M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman

Efficient GPU implementation of the integral histogram

Lecture Notes in Computer Science (ACCV Workshop on Developer-Centered Computer Vision), Volume 7728, pgs. 266--278, 2012

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Mahdieh:ACCVW-2012-gpuIH,
  author = "M. Poostchi and K. Palaniappan and F. Bunyak and M. Becchi and G. Seetharaman",
  title = "Efficient GPU implementation of the integral histogram",
  year = 2012,
  booktitle = "Lecture Notes in Computer Science (ACCV Workshop on Developer-Centered Computer Vision)",
  volume = 7728,
  number = Part I,
  pages = "266--278",
  keywords = "parallelization, gpu, tracking, fmv, motion, features, dod"
}

M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman. Efficient GPU implementation of the integral histogram. Lecture Notes in Computer Science (ACCV Workshop on Developer-Centered Computer Vision), volume 7728, issue Part I, pages 266--278, 2012.

#161: I. Ersoy, F. Bunyak, J. Higgins, and K. Palaniappan

Coupled edge profile geodesic active contours for red blood cell flow analysis

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2012

cell segmentation, level set active contours, red blood cells, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Ersoy:ISBI-2012-rbc,
  author = "I. Ersoy and F. Bunyak and J. Higgins and K. Palaniappan",
  title = "Coupled edge profile geodesic active contours for red blood cell flow analysis",
  year = 2012,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  keywords = "cell segmentation, level set active contours, red blood cells, cell tracking, biomedical",
  doi = "10.1109/ISBI.2012.6235656",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6235656"
}

I. Ersoy, F. Bunyak, J. Higgins, and K. Palaniappan. Coupled edge profile geodesic active contours for red blood cell flow analysis. IEEE Int. Symposium on Biomedical Imaging (ISBI), 2012.

#159: S. Candemir, K. Palaniappan, F. Bunyak, and G. Seetharaman

Feature fusion using ranking for object tracking in aerial imagery

Proc. SPIE Conf. Geospatial InfoFusion II (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8396, 2012

wami, tracking, fmv, features, motion, fusion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

Aerial wide-area monitoring and tracking using multi-camera arrays poses unique challenges compared to stan- dard full motion video analysis due to low frame rate sampling, accurate registration due to platform motion, low resolution targets, limited image contrast, static and dynamic parallax occlusions.1–3 We have developed a low frame rate tracking system that fuses a rich set of intensity, texture and shape features, which enables adaptation of the tracker to dynamic environment changes and target appearance variabilities. However, improper fusion and overweighting of low quality features can adversely affect target localization and reduce tracking performance. Moreover, the large computational cost associated with extracting a large number of image-based feature sets will influence tradeoffs for real-time and on-board tracking. This paper presents a framework for dynamic online ranking-based feature evaluation and fusion in aerial wide-area tracking. We describe a set of efficient descriptors suitable for small sized targets in aerial video based on intensity, texture, and shape feature representations or views. Feature ranking is then used as a selection procedure where target-background discrimination power for each (raw) feature view is scored using a two-class variance ratio approach. A subset of the k-best discriminative features are selected for further processing and fusion. The target match probability or likelihood maps for each of the k features are estimated by comparing target descriptors within a search region using a sliding win- dow approach. The resulting k likelihood maps are fused for target localization using the normalized variance ratio weights. We quantitatively measure the performance of the proposed system using ground-truth tracks within the framework of our tracking evaluation test-bed that incorporates various performance metrics. The proposed feature ranking and fusion approach increases localization accuracy by reducing multimodal effects due to low quality features or background clutter. Adaptive feature ranking increases the robustness of the tracker in dynamically changing environments especially when the object appearance is changing.

@inproceedings{Sema:Feature-ranking_SPIE-2012,
  author = "S. Candemir and K. Palaniappan and F. Bunyak and G. Seetharaman",
  title = "Feature fusion using ranking for object tracking in aerial imagery",
  year = 2012,
  booktitle = "Proc. SPIE Conf. Geospatial InfoFusion II (Defense, Security and Sensing: Sensor Data and Information Exploitation)",
  volume = 8396,
  keywords = "wami, tracking, fmv, features, motion, fusion, dod",
  doi = "10.1117/12.920529"
}

S. Candemir, K. Palaniappan, F. Bunyak, and G. Seetharaman. Feature fusion using ranking for object tracking in aerial imagery. Proc. SPIE Conf. Geospatial InfoFusion II (Defense, Security and Sensing: Sensor Data and Information Exploitation), volume 8396, 2012.

#143: A. Chowdhury, A. Paul, F. Bunyak, D. Cornelison, and K. Palaniappan

Semi-automated tracking of muscle satellite cells in brightfield microscopy video

IEEE Int. Conf. Image Processing, 2012

cell detection, cell tracking, particle filters, image enhancement, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Ananda:satellite-cell_ICIP-2012,
  author = "A. Chowdhury and A. Paul and F. Bunyak and D. Cornelison and K. Palaniappan",
  title = "Semi-automated tracking of muscle satellite cells in brightfield microscopy video",
  year = 2012,
  booktitle = "IEEE Int. Conf. Image Processing",
  keywords = "cell detection, cell tracking, particle filters, image enhancement, biomedical",
  doi = "10.1109/ICIP.2012.6467487"
}

A. Chowdhury, A. Paul, F. Bunyak, D. Cornelison, and K. Palaniappan. Semi-automated tracking of muscle satellite cells in brightfield microscopy video. IEEE Int. Conf. Image Processing, 2012.

#155: I. Ersoy, F. Bunyak, K. Palaniappan, and J. Peng

HEp-2 Cell Classification in IIF Images Using ShareBoost

Int. Conf. Pattern Recognition, 2012

cell detection, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Ersoy:ICPR-2012-hep2,
  author = "I. Ersoy and F. Bunyak and K. Palaniappan and J. Peng",
  title = "HEp-2 Cell Classification in IIF Images Using ShareBoost",
  year = 2012,
  booktitle = "Int. Conf. Pattern Recognition",
  keywords = "cell detection, cell classification, features, texture, machine learning, data mining, biomedical",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460885"
}

I. Ersoy, F. Bunyak, K. Palaniappan, and J. Peng. HEp-2 Cell Classification in IIF Images Using ShareBoost. Int. Conf. Pattern Recognition, 2012.

#147: R. Pelapur, S. Candemir, F. Bunyak, M. Poostchi, G. Seetharaman, and K. Palaniappan

Persistent target tracking using likelihood fusion in wide-area and full motion video sequences

15th Int. Conf. Information Fusion, pgs. 2420--2427, 2012

wami, tracking, fmv, motion, features, fusion, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Rengarajan:LOFTSystem_FUSION2012,
  author = "R. Pelapur and S. Candemir and F. Bunyak and M. Poostchi and G. Seetharaman and K. Palaniappan",
  title = "Persistent target tracking using likelihood fusion in wide-area and full motion video sequences",
  year = 2012,
  booktitle = "15th Int. Conf. Information Fusion",
  pages = "2420--2427",
  keywords = "wami, tracking, fmv, motion, features, fusion, dod",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6290597"
}

R. Pelapur, S. Candemir, F. Bunyak, M. Poostchi, G. Seetharaman, and K. Palaniappan. Persistent target tracking using likelihood fusion in wide-area and full motion video sequences. 15th Int. Conf. Information Fusion, pages 2420--2427, 2012.

#144: V. B. S. Prasath, F. Bunyak, P. Dale, S. R. Frazier, and K. Palaniappan

Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology

IEEE Healthcare Innovation Conference, 2012

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Surya:HIC-2012-histopath,
  author = "V. B. S. Prasath and F. Bunyak and P. Dale and S. R. Frazier and K. Palaniappan",
  title = "Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology",
  year = 2012,
  booktitle = "IEEE Healthcare Innovation Conference",
  keywords = "histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical"
}

V. B. S. Prasath, F. Bunyak, P. Dale, S. R. Frazier, and K. Palaniappan. Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology. IEEE Healthcare Innovation Conference, 2012.

#158: S. Candemir, K. Palaniappan, F. Bunyak, G. Seetharaman, and R. Rao

Feature prominence-based weighting scheme for video tracking

8th Indian Conference on Computer Vision, Graphics and Image Processing, 2012

wami, tracking, fmv, motion, features, fusion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Sema:ICVGIP-2012-feature-prom,
  author = "S. Candemir and K. Palaniappan and F. Bunyak and G. Seetharaman and R. Rao",
  title = "Feature prominence-based weighting scheme for video tracking",
  year = 2012,
  booktitle = "8th Indian Conference on Computer Vision, Graphics and Image Processing",
  keywords = "wami, tracking, fmv, motion, features, fusion, dod",
  doi = "10.1145/2425333.2425358"
}

S. Candemir, K. Palaniappan, F. Bunyak, G. Seetharaman, and R. Rao. Feature prominence-based weighting scheme for video tracking. 8th Indian Conference on Computer Vision, Graphics and Image Processing, 2012.

#146: M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman

Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms

8th Indian Conference on Computer Vision, Graphics and Image Processing, 2012

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Mahdieh:ICVGIP-2012-median,
  author = "M. Poostchi and K. Palaniappan and F. Bunyak and M. Becchi and G. Seetharaman",
  title = "Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms",
  year = 2012,
  booktitle = "8th Indian Conference on Computer Vision, Graphics and Image Processing",
  keywords = "parallelization, gpu, tracking, fmv, motion, features, dod",
  doi = "10.1145/2425333.2425352"
}

M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman. Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms. 8th Indian Conference on Computer Vision, Graphics and Image Processing, 2012.

#134: F. Bunyak, A. Hafiane, and K. Palaniappan

Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets

Software Tools and Algorithms for Biological Systems, Springer, pgs. 413--424, 2011

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@incollection{Bunyak:histo-book-2011,
  author = "F. Bunyak and A. Hafiane and K. Palaniappan",
  title = "Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets",
  year = 2011,
  booktitle = "Software Tools and Algorithms for Biological Systems",
  publisher = "Springer",
  pages = "413--424",
  keywords = "histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical",
  doi = "10.1007/978-1-4419-7046-6_41",
  url = "http://link.springer.com/chapter/10.1007/978-1-4419-7046-6_41"
}

F. Bunyak, A. Hafiane, and K. Palaniappan. Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets. Software Tools and Algorithms for Biological Systems, Springer, pages 413--424, 2011.

#123: A. Haridas, R. Pelapur, J. Fraser, F. Bunyak, and K. Palaniappan

Visualization of automated and manual trajectories in wide-area motion imagery

15th Int. Conf. Information Visualization, pgs. 288--293, 2011

visualization, big data, wami, tracking, fmv, features, motion, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Haridas:InfoVis-2011,
  author = "A. Haridas and R. Pelapur and J. Fraser and F. Bunyak and K. Palaniappan",
  title = "Visualization of automated and manual trajectories in wide-area motion imagery",
  year = 2011,
  booktitle = "15th Int. Conf. Information Visualization",
  pages = "288--293",
  keywords = "visualization, big data, wami, tracking, fmv, features, motion, dod",
  doi = "10.1109/IV.2011.67",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6004056"
}

A. Haridas, R. Pelapur, J. Fraser, F. Bunyak, and K. Palaniappan. Visualization of automated and manual trajectories in wide-area motion imagery. 15th Int. Conf. Information Visualization, pages 288--293, 2011.

#114: K. Palaniappan, F. Bunyak, P. Kumar, I. Ersoy, S. Jaeger, K. Ganguli, A. Haridas, J. Fraser, R. Rao, and G. Seetharaman

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video

13th Int. Conf. Information Fusion, 2010

wami, tracking, fmv, motion, features, fusion, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Pal:Fusion-2010,
  author = "K. Palaniappan and F. Bunyak and P. Kumar and I. Ersoy and S. Jaeger and K. Ganguli and A. Haridas and J. Fraser and R. Rao and G. Seetharaman",
  title = "Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video",
  year = 2010,
  booktitle = "13th Int. Conf. Information Fusion",
  keywords = "wami, tracking, fmv, motion, features, fusion, dod",
  doi = "10.1109/ICIF.2010.5711891",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5711891"
}

K. Palaniappan, F. Bunyak, P. Kumar, I. Ersoy, S. Jaeger, K. Ganguli, A. Haridas, J. Fraser, R. Rao, and G. Seetharaman. Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video. 13th Int. Conf. Information Fusion, 2010.

#103: F. Bunyak, K. Palaniappan, V. Chagin, and M. C. Cardoso

Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns

31st IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 1--5, 2009

cell detection, cell segmentation, cell tracking, features, texture, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Bunyak:EMBC-2009,
  author = "F. Bunyak and K. Palaniappan and V. Chagin and M. C. Cardoso",
  title = "Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns",
  year = 2009,
  booktitle = "31st IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "1--5",
  keywords = "cell detection, cell segmentation, cell tracking, features, texture, biomedical",
  doi = "10.1109/IEMBS.2009.5334168",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5334168"
}

F. Bunyak, K. Palaniappan, V. Chagin, and M. C. Cardoso. Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns. 31st IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 1--5, 2009.

#97: F. Bunyak and K. Palaniappan

Level set-based fast multi-phase graph partitioning active contours using constant memory

Lecture Notes in Computer Science (ACIVS), Volume 5807, pgs. 145--155, 2009

detection, segmentation, active contours, motion, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Bunyak:ACIVS-2009,
  author = "F. Bunyak and K. Palaniappan",
  title = "Level set-based fast multi-phase graph partitioning active contours using constant memory",
  year = 2009,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  volume = 5807,
  pages = "145--155",
  keywords = "detection, segmentation, active contours, motion, classification",
  doi = "10.1007/978-3-642-04697-1_14",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-642-04697-1_14"
}

F. Bunyak and K. Palaniappan. Level set-based fast multi-phase graph partitioning active contours using constant memory. Lecture Notes in Computer Science (ACIVS), volume 5807, pages 145--155, 2009.

#89: I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan

Segmentation and classification of cell cycle phases in fluorescence imaging

Lecture Notes in Computer Science (MICCAI), Volume 5762, pgs. 617--624, 2009

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@article{Ersoy:MICCAI-2009,
  author = "I. Ersoy and F. Bunyak and V. Chagin and M. C. Cardoso and K. Palaniappan",
  title = "Segmentation and classification of cell cycle phases in fluorescence imaging",
  year = 2009,
  journal = "Lecture Notes in Computer Science (MICCAI)",
  volume = 5762,
  pages = "617--624",
  keywords = "cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical",
  doi = "10.1007/978-3-642-04271-3_75",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/20426163"
}

I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan. Segmentation and classification of cell cycle phases in fluorescence imaging. Lecture Notes in Computer Science (MICCAI), volume 5762, pages 617--624, 2009.

#92: K. Palaniappan, F. Bunyak, S. Nath, and J. Goffeney

Parallel processing strategies for cell motility and shape analysis

High-Throughput Image Reconstruction and Analysis, Artech House Publishers, pgs. 39--85, 2009

parallelization, gpu, cell detection, cell segmentation, cell tracking, machine learning, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inbook{Palani:Raobook-2009,
  author = "K. Palaniappan and F. Bunyak and S. Nath and J. Goffeney",
  title = "Parallel processing strategies for cell motility and shape analysis",
  year = 2009,
  booktitle = "High-Throughput Image Reconstruction and Analysis",
  publisher = "Artech House Publishers",
  pages = "39--85",
  keywords = "parallelization, gpu, cell detection, cell segmentation, cell tracking, machine learning, biomedical"
}

K. Palaniappan, F. Bunyak, S. Nath, and J. Goffeney. Parallel processing strategies for cell motility and shape analysis. High-Throughput Image Reconstruction and Analysis, Artech House Publishers, pages 39--85, 2009.

#102: F. Bunyak and K. Palaniappan

Efficient segmentation using feature-based graph partitioning active contours

12th IEEE Int. Conf. Computer Vision, pgs. 873--880, 2009

detection, segmentation, active contours, motion, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Bunyak:ICCV-2009,
  author = "F. Bunyak and K. Palaniappan",
  title = "Efficient segmentation using feature-based graph partitioning active contours",
  year = 2009,
  booktitle = "12th IEEE Int. Conf. Computer Vision",
  pages = "873--880",
  keywords = "detection, segmentation, active contours, motion, classification",
  doi = "10.1109/ICCV.2009.5459320",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5459320"
}

F. Bunyak and K. Palaniappan. Efficient segmentation using feature-based graph partitioning active contours. 12th IEEE Int. Conf. Computer Vision, pages 873--880, 2009.

#101: A. Hafiane, F. Bunyak, and K. Palaniappan

Evaluation of level set-based histology image segmentation using geometric region criteria

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2009

histopathology, active contours, classification, segmentation, features, texture, biomedical

Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:ISBI-2009,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Evaluation of level set-based histology image segmentation using geometric region criteria",
  year = 2009,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  keywords = "histopathology, active contours, classification, segmentation, features, texture, biomedical",
  doi = "10.1109/ISBI.2009.5192968",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5192968"
}

#83: I. Ersoy, F. Bunyak, M. A. Mackey, and K. Palaniappan

Cell segmentation using Hessian-based detection and contour evolution with directional derivatives

IEEE Int. Conf. Image Processing, pgs. 1804--1807, 2008

cell segmentation, cell detection, active contours, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Ersoy:ICIP-2008,
  author = "I. Ersoy and F. Bunyak and M. A. Mackey and K. Palaniappan",
  title = "Cell segmentation using Hessian-based detection and contour evolution with directional derivatives",
  year = 2008,
  booktitle = "IEEE Int. Conf. Image Processing",
  pages = "1804--1807",
  keywords = "cell segmentation, cell detection, active contours, features, biomedical",
  doi = "10.1109/ICIP.2008.4712127",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4712127"
}

I. Ersoy, F. Bunyak, M. A. Mackey, and K. Palaniappan. Cell segmentation using Hessian-based detection and contour evolution with directional derivatives. IEEE Int. Conf. Image Processing, pages 1804--1807, 2008.

#77: A. Hafiane, F. Bunyak, and K. Palaniappan

Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection

Lecture Notes in Computer Science (ACIVS), Volume 5259, pgs. 903--914, 2008

histopathology, active contours, classification, segmentation, features, texture, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Hafiane:ACIVS-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection",
  year = 2008,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  volume = 5259,
  pages = "903--914",
  keywords = "histopathology, active contours, classification, segmentation, features, texture, biomedical",
  doi = "10.1007/978-3-540-88458-3_82",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-540-88458-3_82"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection. Lecture Notes in Computer Science (ACIVS), volume 5259, pages 903--914, 2008.

#82: I. Ersoy, F. Bunyak, K. Palaniappan, M. Sun, and G. Forgacs

Cell spreading analysis with directed edge profile-guided level set active contours

Lecture Notes in Computer Science (MICCAI), Volume 5241, pgs. 376--383, 2008

cell segmentation, active contours, high content, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@article{Ersoy:MICCAI-2008,
  author = "I. Ersoy and F. Bunyak and K. Palaniappan and M. Sun and G. Forgacs",
  title = "Cell spreading analysis with directed edge profile-guided level set active contours",
  year = 2008,
  journal = "Lecture Notes in Computer Science (MICCAI)",
  volume = 5241,
  pages = "376--383",
  keywords = "cell segmentation, active contours, high content, biomedical",
  doi = "10.1007/978-3-540-85988-8_45",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/18979769"
}

I. Ersoy, F. Bunyak, K. Palaniappan, M. Sun, and G. Forgacs. Cell spreading analysis with directed edge profile-guided level set active contours. Lecture Notes in Computer Science (MICCAI), volume 5241, pages 376--383, 2008.

#81: A. Hafiane, F. Bunyak, and K. Palaniappan

Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation

IEEE Int. Conf. Pattern Recognition, pgs. Online, 2008

histopathology, active contours, classification, segmentation, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:ICPR-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation",
  year = 2008,
  booktitle = "IEEE Int. Conf. Pattern Recognition",
  pages = "Online",
  keywords = "histopathology, active contours, classification, segmentation, features, biomedical",
  doi = "10.1109/ICPR.2008.4761744",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4761744"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation. IEEE Int. Conf. Pattern Recognition, pages Online, 2008.

#78: F. Bunyak, K. Palaniappan, O. Glinskii, V. Glinskii, V. Glinsky, and V. Huxley

Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution

30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 3134--3137, 2008

segmentation, image enhancement, active contours, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Bunyak:EMBC-2008,
  author = "F. Bunyak and K. Palaniappan and O. Glinskii and V. Glinskii and V. Glinsky and V. Huxley",
  title = "Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution",
  year = 2008,
  booktitle = "30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "3134--3137",
  keywords = "segmentation, image enhancement, active contours, vasculature, biomedical",
  doi = "10.1109/IEMBS.2008.4649868",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4649868"
}

F. Bunyak, K. Palaniappan, O. Glinskii, V. Glinskii, V. Glinsky, and V. Huxley. Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution. 30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 3134--3137, 2008.

#75: A. Hafiane, F. Bunyak, and K. Palaniappan

Level-set-based histology image segmentation with region-based comparison

MICCAI Workshop MIAAB, pgs. Online, 2008

histopathology, active contours, classification, features, texture, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:MIAAB-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Level-set-based histology image segmentation with region-based comparison",
  year = 2008,
  booktitle = "MICCAI Workshop MIAAB",
  pages = "Online",
  keywords = "histopathology, active contours, classification, features, texture, data mining, biomedical",
  doi = "10.1007/978-3-540-88458-3_82",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-540-88458-3_82"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Level-set-based histology image segmentation with region-based comparison. MICCAI Workshop MIAAB, pages Online, 2008.

#69: F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman

Flux tensor constrained geodesic active contours with sensor fusion for persistent object tracking

J. Multimedia, Volume 2, pgs. 20--33, 2007

motion, fusion, tracking, active contours, visual events, features

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@article{Bunyak:JMM-2007,
  author = "F. Bunyak and K. Palaniappan and S. K. Nath and G. Seetharaman",
  title = "Flux tensor constrained geodesic active contours with sensor fusion for persistent object tracking",
  year = 2007,
  journal = "J. Multimedia",
  volume = 2,
  number = 4,
  pages = "20--33",
  month = "Aug",
  keywords = "motion, fusion, tracking, active contours, visual events, features",
  url = "http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2605095/"
}

F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman. Flux tensor constrained geodesic active contours with sensor fusion for persistent object tracking. J. Multimedia, volume 2, issue 4, pages 20--33, August 2007.

#70: S. K. Nath, K. Palaniappan, and F. Bunyak

Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD

Lecture Notes in Computer Science (SCIA), Volume 4522, pgs. 421--431, 2007

cell segmentation, segmentation, active contours, data mining

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Nath:SCIA-2007,
  author = "S. K. Nath and K. Palaniappan and F. Bunyak",
  title = "Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD",
  year = 2007,
  journal = "Lecture Notes in Computer Science (SCIA)",
  volume = 4522,
  pages = "421--431",
  keywords = "cell segmentation, segmentation, active contours, data mining",
  doi = "10.1007/978-3-540-73040-8_43"
}

S. K. Nath, K. Palaniappan, and F. Bunyak. Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD. Lecture Notes in Computer Science (SCIA), volume 4522, pages 421--431, 2007.

#68: F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman

Geodesic active contour based fusion of visible and infrared video for persistent object tracking

8th IEEE Workshop Applications of Computer Vision (WACV 2007), pgs. Online, 2007

motion, fusion, tracking, active contours, visual events, features

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Bunyak:WACV-2007,
  author = "F. Bunyak and K. Palaniappan and S. K. Nath and G. Seetharaman",
  title = "Geodesic active contour based fusion of visible and infrared video for persistent object tracking",
  year = 2007,
  booktitle = "8th IEEE Workshop Applications of Computer Vision (WACV 2007)",
  pages = "Online",
  keywords = "motion, fusion, tracking, active contours, visual events, features",
  doi = "10.1109/WACV.2007.26"
}

F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman. Geodesic active contour based fusion of visible and infrared video for persistent object tracking. 8th IEEE Workshop Applications of Computer Vision (WACV 2007), pages Online, 2007.

#60: F. Bunyak, K. Palaniappan, S. K. Nath, T. I. Baskin, and G. Dong

Quantitative cell motility for in vitro wound healing using level set-based active contour tracking

IEEE Int. Symposium on Biomedical Imaging (ISBI), pgs. 1040--1043, 2006

cell detection, cell segmentation, active contours, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@incollection{Bunyak:ISBI-2006,
  author = "F. Bunyak and K. Palaniappan and S. K. Nath and T. I. Baskin and G. Dong",
  title = "Quantitative cell motility for in vitro wound healing using level set-based active contour tracking",
  year = 2006,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  pages = "1040--1043",
  month = "Apr",
  keywords = "cell detection, cell segmentation, active contours, cell tracking, biomedical",
  doi = "10.1109/ISBI.2006.1625099"
}

F. Bunyak, K. Palaniappan, S. K. Nath, T. I. Baskin, and G. Dong. Quantitative cell motility for in vitro wound healing using level set-based active contour tracking. IEEE Int. Symposium on Biomedical Imaging (ISBI), pages 1040--1043, April 2006.

#59: S. K. Nath, F. Bunyak, and K. Palaniappan

Robust tracking of migrating cells using four-color level set segmentation

Lecture Notes in Computer Science (ACIVS), Volume 4179, pgs. 920--932, 2006

cell detection, cell segmentation, active contours, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Nath:ACIVS-2006,
  author = "S. K. Nath and F. Bunyak and K. Palaniappan",
  title = "Robust tracking of migrating cells using four-color level set segmentation",
  year = 2006,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  publisher = "Springer-Verlag",
  volume = 4179,
  pages = "920--932",
  keywords = "cell detection, cell segmentation, active contours, cell tracking, biomedical",
  doi = "10.1007/11864349_84"
}

S. K. Nath, F. Bunyak, and K. Palaniappan. Robust tracking of migrating cells using four-color level set segmentation. Lecture Notes in Computer Science (ACIVS), Springer-Verlag, volume 4179, pages 920--932, 2006.

#64: S. K. Nath, K. Palaniappan, and F. Bunyak

Cell segmentation using coupled level sets and graph-vertex coloring

Lecture Notes in Computer Science (MICCAI), Volume 4190, pgs. 101--108, 2006

cell detection, cell segmentation, active contours, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Nath:MICCAI-2006,
  author = "S. K. Nath and K. Palaniappan and F. Bunyak",
  title = "Cell segmentation using coupled level sets and graph-vertex coloring",
  year = 2006,
  journal = "Lecture Notes in Computer Science (MICCAI)",
  volume = 4190,
  pages = "101--108",
  keywords = "cell detection, cell segmentation, active contours, cell tracking, biomedical",
  doi = "10.1007/11866565_13"
}

S. K. Nath, K. Palaniappan, and F. Bunyak. Cell segmentation using coupled level sets and graph-vertex coloring. Lecture Notes in Computer Science (MICCAI), volume 4190, pages 101--108, 2006.

115 Publications by "F. Bunyak"

111 CIVA Publications and 4 external publications

deep learning, vocal folds, laryngeal endoscopy, laryngeal closure detection, laryngeal adductor reflex

3d voxel rendering, denoising, convolutional neural networks, synthetic aerial imagery, point cloud evaluation

moving object, change detection, background subtraction, flux tensor, convolutional neural networks, u-net

vessel segmentation, confocal microscopy images, deep learning, semantic segmentation

oral diadochokinesis, syllable detection, mouth/jaw motion, deep learning

training, image segmentation, shape, microscopy, stem cells, cell detection, cell tracking, mitosis

deep learning, fusion, wami, object detection, multi-object tracking, dod

local feature detector, sift, surf, orb, akaze binary feature, mser, lf-net, superpoint, image matching, photogrammetry, camera pose, bundle adjustment, simulation environments, virtual reality, augmented reality

deep learning, laryngeal adductor reflex, automated detection, endoscopy video analysis

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

ground truth generator, object annotation, deep learning, object detection, tracking

unsupervised, convolutional neural network, homography estimation, uav freely flown, maize, mosaicking

aerial imagery, crop field imagery, maize, mosaicking, small unmanned aerial system (suas), video summarization

normalize cross correlation, gradient blending, mosaicing, registration, biomedical, mesentery

dura mater, lymphatics, vascular structures, microvessels, pachymeningeal

facial component segmentation, facial expression recognition, convolutional neural network, deep learning

diadochokinesis analysis, speech signal analysis, deep learning, event detection, event localization

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

deep learning, object detection, data compression, video surveillance, image motion analysis, saliency

deep learning, object detection, data compression, video surveillance, image motion analysis

features, mosaicing, performance evaluation, aerial video

aerial imagery, mosaicking, registration, summarization, feature based registration.

visual object tracking, staple, correlation filter, color name, fusion

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

multi-object tracking, tracking, occlusion handling, association

tracking, wide area motion imagery, multi-object tracking, tracking-by-detection, data association

multi-object tracking, tracking-by-detection, global data association, local data association, appearance modules

convolutional neural networks, deep learning, facial component segmentation, facial expression recognition

plant seed morphometry, image analysis, mobile application

tracking, wide area motion imagery, kernelized correlation filter, discriminative modeling, ridge regression

image color analysis, tracking, color, correlation, lighting, histograms.

multi-object tracking, tracking

wami, tracking

flux tensor, object detection, ftsg, patent

wami, tracking, fmv, features, motion, image analysis

performance, evaluation, short-term, single-object trackers, vot

performance, evaluation, object tracking, thermal, ir, vot

deep learning, histopathology, segmentation

color, tracking, features, single object tracking

eye, biomedical, image analysis

wami, tracking, fmv, features, motion, image analysis

video summarization, mosaicing, geospatial

video summarization, mosaicing, geospatial, mobile, cognition

visualization, big data, biomedical, histopathology

biomedical, histopathology, segmentation, classification

biomedical, cell tracking, microscopy

biomedical, image analysis

biomedical, vascular

multifocus, image fusion, vasculature, biomedical

ftsg, flux tensor, split gaussian, change detection

segmentation, image enhancement, vasculature, biomedical

cell segmentation, active contours, high content, biomedical

wami, tracking, fmv, motion, dod

wami, tracking, fmv, features, motion, dod

parallelization, gpu, tracking, fmv, motion, features, dod

cell segmentation, level set active contours, red blood cells, cell tracking, biomedical

wami, tracking, fmv, features, motion, fusion, dod

cell detection, cell tracking, particle filters, image enhancement, biomedical