268 Publications by "K. Palaniappan"


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
J. Morris, S. Newman, K. Palaniappan, J. Fan, and D. Lin

Do you know you are tracked by photos that you didn't take: Large-scale location-aware multi-party image privacy protection

IEEE Transactions on Dependable and Secure Computing, pgs. In Press, 2022

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#297: D. K. Ufuktepe, J. Collins, E. Ufuktepe, J. Fraser, T. Krock, and K. Palaniappan

Learning-based shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds

IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Workshop on Analysis of Aerial Motion Imagery (WAAMI), 2021

Abstract, Bibtex, PlainText, Google Scholar
#298: 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
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
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
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
G. Rahmon, F. Bunyak, G. Seetharaman, and K. Palaniappan

Motion U-Net: multi-cue encoder-decoder network for motion segmentation

IEEE International Conference on Pattern Recognition (ICPR), pgs. 8125-8132, 2021

Bibtex, PlainText, DOI, Google Scholar
E. Asante, D. Hummel, S. Gurung, Y. Kassim, N. Al-Shakarji, K. Palaniappan, V. Sittaramane, and A. Chandrasekhar

Defective neuronal positioning correlates with aberrant motor circuit function in zebrafish

Frontiers in Neural Circuits, Volume 15, 2021

jaw movement, food intake, behavior, neuronal migration, axon guidance, zebrafish, neural circuits, facial branchiomotor neuron, fusion, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
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
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
C. Qu, P. Calyam, J. Yu, A. Vandanapu, O. Opeoluwa, K. Gao, S. Wang, R. Chastain, and K. Palaniappan

DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics

Future Generation Computer Systems, Volume 125, pgs. 247-262, 2021

edge/fog computation offloading, drone video analytics, mobile edge computing, learning-based scheme, data processing in fog computing

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
S. Yao, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

City-Scale Point Cloud Stitching Using 2D/3D Registration for Large Geographical Coverage

International Conference on Pattern Recognition, pgs. 32--45, 2021

Abstract, Bibtex, PlainText, PDF, Google Scholar
#55: H. AliAkbarpour, K. Gao, R. Aktar, S. Suddarth, and K. Palaniappan

Structure from motion and mosaicking for high-throughput field-scale phenotyping

High-Throughput Crop Phenotyping, Springer International Publishing, pgs. 55--69, 2021

structure-from-motion (sfm), video stabilization, image registration, orthorectification, mosaicking

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar
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
#291: 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
#293: J. K. Lewis, I. E. Toubal, H. Chen, V. Sandesera, M. Lomnitz, Z. Hampel-Arias, C. Prasad, and K. Palaniappan

Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning

Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-9, 2020

deepfake detection, deep learning, multi-modal, computer vision

Abstract, Bibtex, PlainText, Software, PDF, URL, DOI, Google Scholar
#294: K. Gao, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

DCT-based local descriptor for robust matching and feature tracking in wide area motion imagery

IEEE Geoscience and Remote Sensing Letters, pgs. 1-5, 2020

3d stereo, aerial video, convolutional neural network, cnn, dct, feature descriptor, matching, point correspondences, spatial frequency

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#292: A. Nafis, E. Teters, R. Aktar, G. Seetharaman, and K. Palaniappan

GPU and multi-threaded CPU enabled normalized cross correlation

Proc. SPIE Conf. Geospatial InfoFusion X (Defense + Commercial Sensing), 2020

normalized cross correlation, multi-threading, gpu

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
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
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
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
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
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
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
H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling

Machine Vision and Navigation, Springer International Publishing, pgs. 579--595, 2020

video stabilization, image registration, georegistration, camera parameter optimization, homography, parallax, 3d

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
R. Aktar, V. H. Huxley, G. Guidoboni, O. V. Glinskii, and K. Palaniappan

Interactive global mosaic stitching from mesentery video sequences

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-5, 2020

global mosaicing, registration, normalize cross correlation, fuse descriptor, mesentery

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
S. Yao, Y. Wang, H. AliAkbarpour, G. Seetharaman, R. Rao, and K. Palaniappan

SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis

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

Abstract, Bibtex, PlainText, PDF, Google Scholar
R. R. Ramisetty, C. Qu, R. Aktar, S. Wang, P. Calyam, and K. Palaniappan

Dynamic computation off-loading and control based on occlusion detection in drone video analytics

Proceedings of the 21st International Conference on Distributed Computing and Networking, Association for Computing Machinery, 2020

drone video analytics, occlusion detection, multimedia networking protocols, computation off-loading, network management

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#295: Y. M. Kassim, K. Palaniappan, F. Yang, M. Poostchi, N. Palaniappan, R. J. Maude, S. Antani, and S. Jaeger

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears

2020

Bibtex, PlainText, Software, URL, Google Scholar
#296: E. Ufuktepe, V. Ramtekkar, K. Gao, N. Al-Shakarji, J. Fraser, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

pyTAG: Python-based interactive training data generation for visual tracking algorithms

Proc. SPIE Conf. Geospatial InfoFusion X (Defense + Commercial Sensing), Volume 11398, 2020

ground-truth generation, visual tracking, crowd sourcing, annotation, deep learning

Abstract, Bibtex, PlainText, Software, URL, DOI, Google Scholar
#286: V. Prasath, R. Pelapur, G. Seetharaman, and K. Palaniappan

Multiscale Structure Tensor for Improved Feature Extraction and Image Regularization

IEEE Transactions on Image Processing, Volume 28, pgs. 6198-6210, 2019

image restoration, structure tensor, variable exponent, anisotropic diffusion

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#285: K. Gao, S. Yao, H. AliAkbarpour, S. Agarwal, G. Seetharaman, and K. Palaniappan

Sensitivity of multiview 3D point cloud reconstruction to compression quality and image feature detectability

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-6, 2019

jpeg compression, feature detection, 3d reconstruction, evaluation

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#290: 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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#289: Y. M. Kassim, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, G. Guidoboni, and K. Palaniappan

Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation

2019 IEEE International Conference on Image Processing (ICIP), pgs. 1445-1449, 2019

semantic vessel segmentation, deep learning, histogram equalization, random forests, u-net

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#288: 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
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
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
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
R. Aktar, K. Palaniappan, and J. Uhlmann

A method for online interpolation of packet-loss blocks in streaming video

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-7, 2019

packet-loss, streaming video, interpolation

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#287: 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
#274: M. Poostchi, I. Ersoy, K. McMenamin, E. Gordon, N. Palaniappan, S. Pierce, R. J. Maude, A. Bansal, P. Srinivasan, L. Miller, K. Palaniappan, G. Thoma, and S. Jaeger

Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy

Journal of Medical Imaging, Volume 5, pgs. 1-14, 2018

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#270: Y. M. Kassim, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#269: 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
#281: J. Patman, S. C. J. Michael, M. M. F. Lutnesky, and K. Palaniappan

BioSense: Real-Time Object Tracking for Animal Movement and Behavior Research

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-8, 2018

object-tracking, video analytics, animal behavior, automated data collection, tracking software

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#263: Y. M. Kassim, R. J. Maude, and K. Palaniappan

Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction

40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pgs. 2736-2739, 2018

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#275: Z. A. Oraibi, H. Yousif, A. Hafiane, G. Seetharaman, and K. Palaniappan

Learning Local and Deep Features for Efficient Cell Image Classification Using Random Forests

25th IEEE International Conference on Image Processing (ICIP), pgs. 2446-2450, 2018

feature extraction, random forests, local features, deep learning, image classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#271: D. Chemodanov, P. Calyam, S. Valluripally, H. Trinh, J. Patman, and K. Palaniappan

On QoE-oriented Cloud Service Orchestration for Application Providers

IEEE Transactions on Services Computing, pgs. 1-14, 2018

qoe-oriented cloud service orchestration, multiconstrained path-aware possibilistic c-mean clustering, 3q interplay model, least cost-disruptive decision tree

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#279: H. Trinh, P. Calyam, D. Chemodanov, S. Yao, Q. Lei, F. Gao, and K. Palaniappan

Energy-Aware Mobile Edge Computing and Routing for Low-Latency Visual Data Processing

IEEE Transactions on Multimedia, Volume 20, pgs. 2562 - 2577, 2018

mobile edge computing, policy-based cloud management, energy-aware edge routing, low-latency visual data processing

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#280: 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
#278: S. Yao, H. Yu, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

EpiX: A 3D Measurement Tool for Heritage, Archeology and Aerial Photogrammetry

Springer Book Chapter, 2018

cultural heritage, wide-area motion imagery, annotation tool, epipolar geometry

Abstract, Bibtex, PlainText, PDF, Google Scholar
#283: S. Yao, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

3D patch-based multi-view stereo for high-resolution imagery

Geospatial Informatics, Motion Imagery, and Network Analytics VIII, pgs. 1-9, 2018

3d patch-based mvs, wami, 3d reconstruction, photometric consistency

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#268: J. Patman, M. Alfarhood, S. Islam, M. Lemus, P. Calyam, and K. Palaniappan

Predictive Analytics for Fog Computing using Machine Learning and GENI

IEEE INFOCOM International Workshop on Computer and Networking Experimental Research Using Testbeds (CNERT), 2018

fog computing, machine learning, predictive analytics, software-defined networking, experimental testbed

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#267: E. Teters, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

Real-time geoprojection and stabilization on airborne GPU-enabled embedded systems

SPIE Geospatial Informatics, and Motion Imagery Analytics VIII, Volume 10645, pgs. 106450H, 2018

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#276: 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
#264: 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
#277: K. Gao, H. AliAkbarpour, K. Palaniappan, and G. Seetharaman

Evaluation of feature matching in aerial imagery for Structure-from Motion and bundle adjustment

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

feature matching, evaluation, structure-from-motion, 3d reconstruction

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#272: J. Peng, A. J. Aved, G. Seetharaman, and K. Palaniappan

Multiview boosting with information propagation for classification

IEEE Transactions on Neural Networks and Learning Systems, Volume 29, pgs. 657-669, 2018

Bibtex, PlainText, URL, Google Scholar
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
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
#273: 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
#266: 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
#282: 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
#284: Y. M. Kassim, N. Al-Shakarji, E. Asante, A. Chandrasekhar, and K. Palaniappan

Dissecting branchiomotor neuron circuits in zebrafish - Toward high-throughput automated analysis of jaw movements

IEEE International Symposium on Biomedical Imaging (ISBI), pgs. 943-947, 2018

zebrafish, branchiomotor circuit, behavior, video microscopy, optical flow, background subtraction, motion map

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#245: X. Yang, G. Dong, K. Palaniappan, G. Mi, and T. Baskin

Temperature-compensated cell production rate and elongation zone length in the root of Arabidopsis thaliana

Plant, Cell & Environment, Volume 40, pgs. 264-276, 2017

rootflow, stripflow, biology

Abstract, Bibtex, PlainText, Software, PDF, URL, DOI, Google Scholar
#246: X. Yang, G. Dong, K. Palaniappan, G. Mi, and T. I. Baskin

Temperature-compensated cell production rate and elongation zone length in the root of Arabidopsis thaliana

Plant, Cell & Environment, 2017

rootflow, stripflow, biology

Abstract, Bibtex, PlainText, Software, PDF, DOI, Google Scholar
#257: Y. M. Kassim and K. Palaniappan

Extracting Retinal Vascular Networks Using Deep Learning Architecture

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017

deep learning, vessel segmentation, fundoscopy images, patches, convolution neural network

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#259: 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
#253: 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
#256: Z. Al-Milajia, I. Ersoy, A. Hafiane, K. Palaniappan, and F.Bunyak

Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images

Pattern Recognition Letters, 2017

Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#255: Y. M. Kassim, V. B. S. Prasath, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Microvasculature segmentation of arterioles using deep CNN

IEEE International Conference on Image Processing (ICIP), 2017

deep learning, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar
#247: M. Poostchi, K. Palaniappan, and G. Seetharaman

Spatial pyramid context-aware moving vehicle detection and tracking in urban aerial imagery

IEEE AVSS International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S), pgs. 1-6, 2017

Abstract, Bibtex, PlainText, URL, Google Scholar
#251: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Parallax tolerant aerial image georegistration and efficient camera pose refinement - Without piecewise homographies

IEEE Transactions on Geoscience and Remote Sensing, Volume 55, pgs. 4618-4637, 2017

cameras, image registration, remote sensing, 3d reconstruction, mavmap, parallax-tolerant aerial image georegistration, pix4d, sfm method, structure from motion, visualsfm, camera metadata measurement, camera pose refinement, camera-induce

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar
#261: H. Aliakbarpour, J. F. Ferreira, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, and J. Dias

A probabilistic framework for 3D reconstruction using heterogeneous sensors

IEEE Sensors Journal, Volume 17, pgs. 2640-2641, 2017

3d reconstruction, depth sensor, sensor fusion

Abstract, Bibtex, PlainText, DOI, Google Scholar
#262: H. Aliakbarpour, J. F. Ferreira, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, and J. Dias

A probabilistic framework for 3D reconstruction using heterogeneous sensors

IEEE Sensors, Volume 17, pgs. 1-2, 2017

3d reconstruction, depth sensor, sensor fusion

Abstract, Bibtex, PlainText, DOI, Google Scholar
#260: A. Akay, H. AliAkbarpour, K. Palaniappan, and G. Seetharaman

Camera Auto-calibration for Planar Aerial Imagery Supported by Camera Metadata

Applied Imagery Pattern Recognition (AIPR), 2017

auto-calibration, planar scene reconstruction, metadata recovery, aerial imagery

Abstract, Bibtex, PlainText, PDF, Google Scholar
#252: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Oblique Aerial Image Georegistration and Efficient Camera Pose Refinement Without Correspondence-based Homographies

IEEE Transactions on Geoscience and Remote Sensing, 2017

registration, 3d reconstruction

Bibtex, PlainText, Google Scholar
#254: J. Peng, A. J. Aved, G. Seetharaman, and K. Palaniappan

Multiview Boosting With Information Propagation for Classification

IEEE Transactions on Neural Networks and Learning Systems, 2017

biometrics, boosting, classification, convergence, data fusion, multiarmed bandits, multiview learning

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#258: H. Trinh, D. Chemodanov, S. Yao, Q. Lei, B. Zhang, F. Gao, P. Calyam, and K. Palaniappan

Energy-aware mobile edge computing for low-latency visual data processing

IEEE International Conference on Future Internet of Things and Cloud (FiCloud), 2017

iot-based applications, cloud computing, energy awareness, visual data processing, mobile edge cloud

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
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
#250: S. Meena, P. Duraisamy, K. Palaniappan, and G. Seetharaman

Point based interactive image segmentation using multiquadrics splines

Proc. SPIE Conf. Pattern Recognition and Tracking XXVIII, Volume 10203, 2017

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar
#244: Z. A. Oraibi, M. Irio, A. Hafiane, and K. Palaniappan

Texture Classification using Multiple Local Descriptors

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-7, 2017

Abstract, Bibtex, PlainText, Google Scholar
#249: 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
#242: 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
#243: M. Kristan, A. Leonardis, J. Matas, M. Felsberg, .., G. Seetharaman, K. Palaniappan, K. Gao, M. Poostchi, and e. al

The Visual Object Tracking VOT2017 challenge results

IEEE International Conference on Computer Vision Workshop (ICCVW), pgs. 1949-1972, 2017

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#239: Z. Liang, S. Jaeger, G. Thoma, J. Huang, P. Guo, A. Powell, K. Silamut, I. Ersoy, M. Poostchi, K. Palaniappan, and R. J. Maude

CNN - Based Image Analysis for Malaria Diagnosis

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016

deep learning, malaira, cells, classification, biomedical

Abstract, Bibtex, PlainText, Google Scholar
#233: V. B. S. Prasath, Y. M. Kassim, Z. A. Oraibi, J.-B. Guiriec, A. Hafiane, G. Seetharaman, and K. Palaniappan

HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests

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

hep-2 cell classification, cell segmentation, texture features, motif patterns, random forests, segmentation, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar
#228: 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
#217: R. Aktar, V. B. S. Prasath, H. Aliakbarpour, U. Sampathkumar, G. Seetharaman, and K. Palaniappan

Video haze removal and Poisson blending based mini-mosaics for wide area motion imagery

Proc. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-7, 2016

haze removal, blending, mosaicing, wami

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#240: U. Sampathkumar, V. B. S. Prasath, S. Meena, and K. Palaniappan

Cloud-based interactive image segmentation using the FireFly visualization tool

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

segmentation, interactive, gaussian elastic body, splines, firefly, visualization

Abstract, Bibtex, PlainText, Google Scholar
#238: Y. M. Kassim, V. B. S. Prasath, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Confocal vessel structure segmentation with optimized feature bank and random forests

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

random forest, segmentation, vasculature, confocal, biomedical

Abstract, Bibtex, PlainText, Google Scholar
#236: V. B. S. Prasath, S. Surineni, K. Gao, G. Seetharaman, and K. Palaniappan

CSANG: Continuous scale anisotropic Gaussians for robust linear structure extraction

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

arst, edge detection, gpu

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#220: 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
#232: H. Aliakbarpour, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, and J. Dias

Heterogeneous multi-view information fusion: Review of 3-D reconstruction methods and a new registration with uncertainty modeling

IEEE Access , Volume 4, pgs. 8264-8285, 2016

registration, 3d reconstruction, uncertainty modeling, sensor fusion

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#221: 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
#234: M. F. Pellechia, K. Palaniappan, P. J. Doucette, S. L. Dockstader, and G. S. (Editors)

Geospatial Informatics, Fusion and Motion Video Analytics VI

Proceedings of SPIE, Volume 9473, pgs. 256 , 2016

Bibtex, PlainText, Google Scholar
#224: J. Kwon, A. Wang, D. J. Burke, H. E. Boudreau, K. J. Lekstrom, A. Korzeniowska, R. Sugamata, Y.-S. Kim, L. Yi, I. Ersoy, S. Jaeger, K. Palaniappan, D. R. Ambruso, S. H. Jackson, and T. L. Leto

Peroxiredoxin 6 (Prdx6) supports NADPH oxidase1 (Nox1)-based superoxide generation and cell migration

Free Radical Biology and Medicine, 2016

cell migration, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
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
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
#231: 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
#237: 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
#218: S. Meena, K. Palaniappan, and G. Seetharaman

User driven sparse point based image segmentation

IEEE International Conference on Image Processing (ICIP), pgs. 844-848, 2016

segmentation, interactive, gaussian elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#219: V. B. S. Prasath, R. Pelapur, K. Palaniappan, and G. Seetharaman

Textured object video segmentation using temporal coherency

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

segmentation, videos, active contours

Abstract, Bibtex, PlainText, Google Scholar
#222: P. Calyam, D. Chemodanov, R. Pelapur, and K. Palaniappan

Regional-scale incident-supporting visual cloud computing with software-defined networking

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

cloud computing, resource management, tracking

Abstract, Bibtex, PlainText, Google Scholar
#230: R. Gargees, B. Morago, R. Pelapur, D. Chemodanov, P. Calyam, Z. Oraibi, Y. Duan, G. Seetharaman, and K. Palaniappan

Incident-supporting visual cloud computing utilizing software-defined networking

IEEE Transactions on Circuits and Systems for Video Technology, 2016

cloud computing, resource management, tracking

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#229: S. Meena, K. Palaniappan, G. Seetharaman, and V. B. S. Prasath

Interactive target selection in aerial imagery using elastic body splines

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

interactive, segmentation, wami, target selection

Abstract, Bibtex, PlainText, Google Scholar
#226: S. Meena, R. Pelapur, V. B. S. Prasath, and K. Palaniappan

Multiscale focus driven segmentation using elastic body splines

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

interactive, segmentation, focus

Abstract, Bibtex, PlainText, Google Scholar
#227: S. Meena, V. B. S. Prasath, Y. M. Kassim, R. J. Maude, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Multiquadric spline-based interactive segmentation of vascular networks

38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 5913-5916, 2016

interactive, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#223: Y. M. Kassim, V. B. S. Prasath, R. Pelapur, O. Glinskii, R. J. Maude, V. Glinsky, V. Huxley, and K. Palaniappan

Random forests for dura mater microvasculature segmentation using epifluorescence images

38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 2901-2904, 2016

random forest, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#202: S. Meena, K. Palaniappan, and G. Seetharaman

Interactive image segmentation using elastic interpolation

IEEE International Symposium on Multimedia (ISM), pgs. 307-310 , 2015

segmentation, interactive, elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#216: W. R. Thissell, R. Czajkowski, F. Schrenk, T. Selway, A. J. Ries, S. Patel, P. L. McDermott, R. Moten, R. Rudnicki, G. Seetharaman, I. Ersoy, and K. Palaniappan

A scalable architecture for operational FMV exploitation (AVAA)

Proc. IEEE International Conference on Computer Vision Workshop (ICCVW) Video Summarization for Large-scale Analytics Workshop, 2015

fmv, motion, features, image anlaysis, wami

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#205: H. AliAkbarpour, K. Palaniappan, and G. Seetharaman

Fast structure from motion for sequential and wide area motion imagery

Proc. IEEE International Conference on Computer Vision Workshop (ICCVW) Video Summarization for Large-scale Analytics Workshop, 2015

structure from motion, 3d reconstruction, bundle adjustment, wami

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#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
#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
#195: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Robust camera pose refinement and rapid SfM for multiview aerial imagery—Without RANSAC

IEEE Geoscience and Remote Sensing Letters, Volume 12, pgs. 2203-2207 , 2015

3d reconstruction, wami, shape from motion

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#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
#203: M. F. Pellechia, K. Palaniappan, P. J. Doucette, S. L. Dockstader, and G. S. (Editors)

Geospatial Informatics, Fusion and Motion Video Analytics VI

Proceedings of SPIE, Volume 9473, pgs. 256, 2015

Bibtex, PlainText, Google Scholar
#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
#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
#197: V. B. S. Prasath, D. Vorotnikov, R. Pelapur, S. Jose, G. Seetharaman, and K. Palaniappan

Multiscale Tikhonov-total variation image restoration using spatially varying edge coherence exponent

IEEE Transactions on Image Processing, Volume 24, pgs. 5220-5235, 2015

image restoration, regularization, anisotropic diffusion, total variation

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#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
#200: A. Hafiane, K. Palaniappan, and G. Seetharaman

Joint Adaptive Median Binary Patterns for texture classification

Pattern Recognition, Volume 48, pgs. 2609-2620, 2015

texture, lbp, classification, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#198: V. B. S. Prasath, R. Pelapur, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature

IEEE Int. Symposium on Biomedical Imaging (ISBI), pgs. 540-543, 2015

anisotropic diffusion, denoising, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#191: A. Hafiane, K. Palaniappan, and G. Seetharaman

Adaptive median binary patterns for texture classification

Proc. IEEE International Conference on Pattern Recognition (ICPR), 2014

texture, lbp, classification, cbir

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#187: J. C. Moreno, V. B. S. Prasath, H. Proenca, and K. Palaniappan

Fast and globally convex multiphase active contours for brain MRI segmentation

Computer Vision and Image Understanding, Volume 125, pgs. 237-250, 2014

segmentation, active contours, globally convex, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#185: M. F. Pellechia, K. Palaniappan, S. L. Dockstader, P. B. Deignan, P. J. Doucette, and D. S. (Editors)

Geospatial InfoFusion and Video Analytics IV

Proceedings of SPIE, Volume 9089, 2014

Bibtex, PlainText, DOI, Google Scholar
#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
#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
#178: A. Gning, W. T. L. Teacy, R. Pelapur, H. AliAkbarpour, K. Palaniappan, G. Seetharaman, and S. J. Julier

The effect of state dependent probability of detection in multitarget tracking applications

Proc. SPIE Conf. Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II (Defense, Security and Sensing), Volume 9089, 2014

tracking, multitarget, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#188: S. Meena, V. B. S. Prasath, K. Palaniappan, and G. Seetharaman

Elastic body spline based image segmentation

Proc. IEEE International Conference on Image Processing (ICIP), pgs. 4378-4382, 2014

segmentation, interactive, elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#186: V. B. S. Prasath, R. Pelapur, K. Palaniappan, and G. Seetharaman

Feature fusion and label propagation for textured object video segmentation

Proc. SPIE Conf. Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II (Defense, Security and Sensing), Volume 9089, 2014

segmentation, active contours, video, globally convex

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#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
#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
#184: S. Candemir, S. Jaeger, K. Palaniappan, J. P. Musco, R. Singh, Z. Xue, A. Karargyris, S. Antani, G. Thoma, and C. J. McDonald

Lung segmentation in chest radiographs using anatomical atlases with non-rigid registration

IEEE Trans. Medical Imaging, Volume 33, pgs. 577-590, 2014

segmentation, graph methods, chest x-ray, cbir, registration, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#189: S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald

Automatic tuberculosis screening using chest radiographs

IEEE Trans. Medical Imaging, Volume 33, pgs. 233-245, 2014

classification, features, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#167: S. Candemir, K. Palaniappan, and Y. S. Akgul

Multi-class regularization parameter learning for graph cut image segmentation

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2013

segmentation, graph methods, chest x-ray, machine learning, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#172: H. Aliakbarpour, K. Palaniappan, and J. Dias

Geometric exploration of virtual planes in a fusion-based 3D registration framework

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

3d reconstruction, wami, registration, fusion, fmv, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#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
#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
#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
#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
#168: J. Fraser, A. Haridas, G. Seetharaman, R. Rao, and K. Palaniappan

KOLAM: A cross-platform architecture for scalable visualization and tracking in wide-area motion imagery

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

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

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#157: M. F. Pellechia, R. J. Sorensen, S. L. Dockstader, K. Palaniappan, X. L. (Editors), and

Geospatial InfoFusion III

Proceedings of SPIE, Volume 8396, pgs. 204, 2012

Bibtex, PlainText, ISBN: 9780819490742, Google Scholar
#140: E. Blasch, G. Seetharaman, K. Palaniappan, H. Ling, and G. Chen

Wide-Area Motion Imagery (WAMI) exploitation tools for enhanced situational awareness

Proc. IEEE Applied Imagery Pattern Recognition Workshop, 2012

wami, visual events, fusion, data mining, fmv, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#148: A. Camargo, Q. He, and K. Palaniappan

Performance evaluation of optimization methods for super-resolution mosaicking on UAS surveillance videos

Proc. SPIE Infrared Imaging Systems: Design, Analysis, Modeling and Testing XXIII, Volume 8355, 2012

image enhancement, wami, visual events, fusion, fmv, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#152: V. B. S. Prasath, I. Figueiredo, P. Figueiredo, and K. Palaniappan

Mucosal region detection and 3D reconstruction in wireless capsule endoscopy videos using active contours

34th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 4014--4017, 2012

cell detection, cell segmentation, cell tracking, active contours, red blood cells, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#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
#154: I. Ersoy, K. Palaniappan, G. Seetharaman, and R. Rao

Interactive tracking for persistent wide-area surveillance

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, Google Scholar
#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
#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
#141: I. Ersoy, K. Palaniappan, and G. Seetharaman

Visual tracking with robust target localization

IEEE Int. Conf. Image Processing, pgs. 1365--1368, 2012

wami, tracking, fmv, features, motion, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar
#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
#145: R. Pelapur, K. Palaniappan, and G. Seetharaman

Robust orientation and appearance adaptation for wide-area large format video object tracking

9th IEEE Int. Conf. Advanced Video and Signal-Based Surveillance, 2012

wami, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#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
#153: J. Peng, K. Palaniappan, S. Candemir, and G. Seetharaman

Kullback-Leibler divergence-based data fusion for target tracking

Int. Conf. Pattern Recognition, 2012

wami, tracking, fmv, features, motion, fusion, data mining, machine learning, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#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
#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
#156: S. Candemir, S. Jaeger, K. Palaniappan, S. Antani, and G. Thoma

Graph cut based automatic lung boundary detection in chest radiographs

IEEE Healthcare Innovation Conference, 2012

registration, segmentation, graph methods, anatomical, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar
#151: V. B. S. Prasath, K. Palaniappan, and G. Seetharaman

Multichannel texture image segmentation using local feature fitting based variational active contours

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

active contours, color, texture, segmentation, features, fusion

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#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
#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
#150: L. Wang, C. Shen, G. Seetharaman, K. Palaniappan, and S. Bhattacharyya

Multidimensional dataflow graph modeling and mapping for efficient GPU implementation

IEEE Workshop Signal Processing Systems (SiPS), pgs. 300--305, 2012

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#120: K. Palaniappan, R. Rao, and G. Seetharaman

Wide-area persistent airborne video: Architecture and challenges

Distributed Video Sensor Networks: Research Challenges and Future Directions, Springer, pgs. 349--371, 2011

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#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
#127: P. Bellens, K. Palaniappan, R. M. Badia, G. Seetharaman, and J. Labarta

Parallel implementation of the integral histogram

Lecture Notes in Computer Science (ACIVS), Volume 6915, pgs. 586--598, 2011

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#126: J. Peng, C. Barbu, G. Seetharaman, F. Wei, X. Wu, and K. Palaniappan

ShareBoost: Boosting for multi-view learning with performance guarantees

Lecture Notes in Artificial Intelligence (ECML PKDD), Volume 6912, pgs. 597--612, 2011

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#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
#128: K. Palaniappan, I. Ersoy, G. Seetharaman, S. Davis, P. Kumar, R. M. Rao, and R. Linderman

Parallel flux tensor analysis for efficient moving object detection

14th Int. Conf. Information Fusion, 2011

parallelization, wami, tracking, fmv, motion, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#136: E. Blasch, P. Deignan, S. Dockstader, M. Pellechia, K. Palaniappan, and G. Seetharaman

Contemporary concerns in Geographical/Geospatial Information Systems (GIS) processing

Proc. IEEE National Aerospace and Electronics Conference (NAECON), pgs. 183--190, 2011

wami, visual events, fusion, data mining, gis, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#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
#116: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features

7th Indian Conference on Computer Vision, Graphics and Image Processing, 2010

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

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#110: K. Palaniappan, I. Ersoy, G. Seetharaman, S. Davis, R. Rao, and R. Linderman

Multicore energy efficient flux tensor for video analysis

IEEE Workshop on Energy Efficient High-Performance Computing (EEHiPC), 2010

parallelization, wami, tracking, fmv, motion, dod