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  2025 (6)
Real-Time Access Control for Background and Co-Occurrence Image Privacy Protection. Cai, C.; Lin, D.; Palaniappan, K.; and Clifton, C. IEEE Trans. Emerg. Top. Comput., 13(3): 1130–1141. 2025.
Real-Time Access Control for Background and Co-Occurrence Image Privacy Protection [link]Paper   doi   link   bibtex  
Uav Detect, Track and Follow (DTF) of Non-Stationary Targets in Aerial Thermal Videos. Singh, S.; Babu, K. S.; Sagan, V.; Vipparla, C.; Palaniappan, K.; and Aliakbarpour, H. In 17th International Conference on Computer and Automation Engineering, ICCAE 2025, Perth, Australia, March 20-22, 2025, pages 165–170, 2025. IEEE
Uav Detect, Track and Follow (DTF) of Non-Stationary Targets in Aerial Thermal Videos [link]Paper   doi   link   bibtex  
Federated Learning-enabled Network Incident Anomaly Detection Optimization for Drone Swarms. Kostage, K.; Adepu, R.; Monroe, J.; Haughton, T.; Mogollon, J.; Poduvu, S.; Palaniappan, K.; Qu, C.; Calyam, P.; and Mitra, R. In Korman, A.; Chakraborty, S.; Peri, S.; Boldrini, C.; and Robinson, P., editor(s), Proceedings of the 26th International Conference on Distributed Computing and Networking, ICDCN 2025, Hyderabad, India, January 4-7, 2025, pages 104–114, 2025. ACM
Federated Learning-enabled Network Incident Anomaly Detection Optimization for Drone Swarms [link]Paper   doi   link   bibtex  
Adaptive Structure-Aware Connectivity-Preserving Loss for Improved Road Segmentation in Remote Sensing Images. Shojaei, S.; Bohl, T.; Palaniappan, K.; and Bunyak, F. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025 - Workshops, Tucson, AZ, USA, February 28 - March 4, 2025, pages 1120–1128, 2025. IEEE
Adaptive Structure-Aware Connectivity-Preserving Loss for Improved Road Segmentation in Remote Sensing Images [link]Paper   doi   link   bibtex  
HQ-SMem: Video Segmentation and Tracking Using Memory Efficient Object Embedding With Selective Update and Self-Supervised Distillation Feedback. Kazemi, E. S.; Toubal, I. E.; Rahmon, G.; Collins, J.; and Palaniappan, K. CoRR, abs/2507.18921. 2025.
HQ-SMem: Video Segmentation and Tracking Using Memory Efficient Object Embedding With Selective Update and Self-Supervised Distillation Feedback [link]Paper   doi   link   bibtex  
Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth. Safavigerdini, K.; Surya, R.; Collins, J.; Calyam, P.; Bunyak, F.; Maschmann, M. R.; and Palaniappan, K. CoRR, abs/2508.19232. 2025.
Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth [link]Paper   doi   link   bibtex  
  2024 (5)
Automated Cervical Cytology Image Cell Segmentation Using Enhanced MultiResUNet With DCT and Spectral Domain Attention Mechanisms. S, R.; Singh, R. P.; and Palaniappan, K. IEEE Access, 12: 189387–189408. 2024.
Automated Cervical Cytology Image Cell Segmentation Using Enhanced MultiResUNet With DCT and Spectral Domain Attention Mechanisms [link]Paper   doi   link   bibtex  
DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation. Rahmon, G.; Palaniappan, K.; Toubal, I. E.; Bunyak, F.; Rao, R.; and Seetharaman, G. Int. J. Comput. Vis., 132(3): 776–804. 2024.
DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation [link]Paper   doi   link   bibtex  
Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology. Bao, R.; Zhao, Y.; Srivastava, A.; Frazier, S.; and Palaniappan, K. IEEE J. Sel. Top. Signal Process., 18(6): 1123–1137. 2024.
Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology [link]Paper   doi   link   bibtex  
The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. Kristan, M.; Matas, J.; Tokmakov, P.; Felsberg, M.; Zajc, L. C.; Lukezic, A.; Tran, K.; Vu, X.; Björklund, J.; Chang, H. J.; Fernández, G.; Attari, M.; Chan, A. B.; Chen, L.; Chen, X.; Collins, J.; Cui, Y.; Devarapu, G. S. M.; Du, Y.; Fan, H.; Fan, W.; Feng, Z.; Gao, M.; Gorthi, R. K.; Goyal, R.; Han, J.; Hatuwal, B. K.; He, Z.; Hu, X.; Huang, X.; Huang, Y.; Jiang, D.; Kang, B.; Palaniappan, K.; Kittler, J.; Lai, S.; Li, N.; Li, X.; Li, X.; Liang, C.; Lin, L.; Ling, H.; Liu, T.; Liu, Z.; Lu, H.; Luo, Y.; Miao, D.; Mogollon, J.; Pang, Z.; Pochimireddy, J. R.; Prutyanov, V.; Rahmon, G.; Romanov, A.; Shi, L.; Siam, M.; Sigal, L.; Sivapuram, A. K.; Solovyev, R. A.; Kazemi, E. S.; Toubal, I. E.; Wan, J.; Wang, L.; Wang, X.; Wang, Y.; Wang, Y.; Wang, Z.; Wu, G.; Wu, Q.; Wu, X.; Xia, Z.; Xie, J.; Xu, C.; Xu, T.; Xu, Y.; Xue, C.; Yang, C.; Yang, J.; Yang, M.; Yu, C.; Yu, K.; Zhang, C.; Zhang, J.; Zhang, Z.; Zheng, F.; Zheng, Y.; Zhong, B.; Zhou, J.; Zhou, J.; Zhou, Y.; Zhou, Z.; Zhu, G.; Zhu, J.; Zhu, X.; and Zunin, V. V. In Bue, A. D.; Canton, C.; Pont-Tuset, J.; and Tommasi, T., editor(s), Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part VII, volume 15629, of Lecture Notes in Computer Science, pages 357–383, 2024. Springer
The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results [link]Paper   doi   link   bibtex  
Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing. Alarcon, M. L.; Roy, U.; Kambhampati, A.; Nguyen, N. P.; Attari, M.; Surya, R.; Bunyak, F.; Maschmann, M. R.; Palaniappan, K.; and Calyam, P. In 4th IEEE International Conference on Human-Machine Systems, ICHMS 2024, Toronto, ON, Canada, May 15-17, 2024, pages 1–7, 2024. IEEE
Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing [link]Paper   doi   link   bibtex  
  2023 (20)
"Do You Know You Are Tracked by Photos That You Didn't Take": Large-Scale Location-Aware Multi-Party Image Privacy Protection. Morris, J.; Newman, S.; Palaniappan, K.; Fan, J.; and Lin, D. IEEE Trans. Dependable Secur. Comput., 20(1): 301–312. 2023.
"Do You Know You Are Tracked by Photos That You Didn't Take": Large-Scale Location-Aware Multi-Party Image Privacy Protection [link]Paper   doi   link   bibtex  
Simulating City-Scale Aerial Data Collection Using Unreal Engine. Agarwal, D.; Kucukpinar, T.; Fraser, J.; Kerley, J.; Buck, A. R.; Anderson, D. T.; and Palaniappan, K. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–9, 2023. IEEE
Simulating City-Scale Aerial Data Collection Using Unreal Engine [link]Paper   doi   link   bibtex  
Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images. Attari, M.; Nguyen, N. P.; Palaniappan, K.; and Bunyak, F. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–7, 2023. IEEE
Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images [link]Paper   doi   link   bibtex  
Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents. Calyam, P.; Kejriwal, M.; Rao, P.; Cheng, J.; Wang, W.; Bai, L.; Nadendla, V. S. S.; Madria, S.; Das, S. K.; Chadha, R.; Hoque, K. A.; Palaniappan, K.; Neupane, K.; Neupane, R. L.; Gandhari, S.; Singhal, M.; Othmane, L. B.; Yu, M.; Anand, V.; Bhargava, B. K.; Robertson, B.; Kee, K. F.; Buzzanell, P.; Bolton, N. A.; and Taneja, H. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–8, 2023. IEEE
Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents [link]Paper   doi   link   bibtex  
Priority Scheduling Using Recurrent Quadrant Search for Handling Priority and 'Pop-Up' Targets in Aerial Videos. Chandrakanth, V.; Singh, S.; Channappayya, S. S.; and Palaniappan, K. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–11, 2023. IEEE
Priority Scheduling Using Recurrent Quadrant Search for Handling Priority and 'Pop-Up' Targets in Aerial Videos [link]Paper   doi   link   bibtex  
NeRF-based 3D Reconstruction and Orthographic Novel View Synthesis Experiments Using City-Scale Aerial Images. Chapell, D. C.; Shang, E. R.; Kucukpinar, T.; Fraser, J.; Collins, J.; Sagan, V.; Calyam, P.; and Palaniappan, K. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–7, 2023. IEEE
NeRF-based 3D Reconstruction and Orthographic Novel View Synthesis Experiments Using City-Scale Aerial Images [link]Paper   doi   link   bibtex  
Experiences with a Virtual Reality System for Immersive Decision Making and Learning. Neupane, K.; Hans, A.; Lee, A.; Criswell, R.; Palaniappan, K.; Duan, Y.; and Calyam, P. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–11, 2023. IEEE
Experiences with a Virtual Reality System for Immersive Decision Making and Learning [link]Paper   doi   link   bibtex  
Marker and Motion Guided Deep Networks for Cell Segmentation and Detection Using Weakly Supervised Microscopy Data. Rahmon, G.; Toubal, I. E.; Cornelison, D. D. W.; and Palaniappan, K. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–12, 2023. IEEE
Marker and Motion Guided Deep Networks for Cell Segmentation and Detection Using Weakly Supervised Microscopy Data [link]Paper   doi   link   bibtex  
Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN. Safavigerdini, K.; Surya, R.; Reinhard, A.; Quinlan, Z.; Bunyak, F.; Maschmann, M. R.; and Palaniappan, K. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–6, 2023. IEEE
Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN [link]Paper   doi   link   bibtex  
Segmentation of Arabidopsis thaliana Using Segment-Anything. Swartz, L. G.; Liu, S.; Cozatl, D. M.; and Palaniappan, K. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages 1–5, 2023. IEEE
Segmentation of Arabidopsis thaliana Using Segment-Anything [link]Paper   doi   link   bibtex  
Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5. Soltanikazemi, E.; Dhakal, A.; Hatuwal, B. K.; Toubal, I. E.; Aboah, A.; and Palaniappan, K. In 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, pages i–x, 2023. IEEE
Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5 [link]Paper   doi   link   bibtex  
CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks. Nguyen, N. P.; Surya, R.; Calyam, P.; Palaniappan, K.; Maschmann, M. R.; and Bunyak, F. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, pages 3428–3437, 2023. IEEE
CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks [link]Paper   doi   link   bibtex  
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. Kristan, M.; Matas, J.; Danelljan, M.; Felsberg, M.; Chang, H. J.; Zajc, L. C.; Lukezic, A.; Drbohlav, O.; Zhang, Z.; Tran, K.; Vu, X.; Björklund, J.; Mayer, C.; Zhang, Y.; Ke, L.; Zhao, J.; Fernández, G.; Al-Shakarji, N.; An, D.; Arens, M.; Becker, S.; Bhat, G.; Bullinger, S.; Chan, A. B.; Chang, S.; Chen, H.; Chen, X.; Chen, Y.; Chen, Z.; Cheng, Y.; Cui, Y.; Deng, C.; Dong, J.; Dunnhofer, M.; Feng, W.; Fu, J.; Gao, J.; Han, R.; Hao, Z.; He, J.; He, K.; He, Z.; Hu, X.; Huang, K.; Huang, Y.; Jiang, Y.; Kang, B.; Lan, J.; Lee, H.; Li, C.; Li, J.; Li, N.; Li, W.; Li, X.; Li, X.; Liu, P.; Liu, Y.; Lu, H.; Luo, B.; Luo, P.; Ma, Y.; Miao, D.; Micheloni, C.; Palaniappan, K.; Park, H.; Paul, M.; Peng, H.; Qian, Z.; Rahmon, G.; Scherer-Negenborn, N.; Shao, P.; Shin, W.; Kazemi, E. S.; Song, T.; Stiefelhagen, R.; Sun, R.; Tang, C.; Tang, Z.; Toubal, I. E.; Valmadre, J.; van de Weijer, J.; Gool, L. V.; Vira, J.; Vujasinovic, S.; Wan, C.; Wan, J.; Wang, D.; Wang, F.; Wang, F.; Wang, H.; Wang, L.; Wang, S.; Wang, Y.; Wang, Z.; Wu, G.; Wu, J.; Wu, Q.; Wu, X.; Xiao, A.; Xie, J.; Xu, C.; Xu, M.; Xu, T.; Xu, Y.; Yan, B.; Yang, D.; Yang, M.; Yang, T.; Yang, Y.; Yang, Z.; Yin, X.; Yu, F.; Yu, H.; Yu, Q.; Yu, W.; Yuan, Y.; Yuan, Z.; Zhang, J.; Zhang, L.; Zhang, T.; Zhao, G.; Zhao, S.; Zheng, Y.; Zhong, B.; Zhu, J.; Zhu, X.; Zhuang, Y.; Zong, C.; and Zuo, K. In IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023, pages 1788–1810, 2023. IEEE
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results [link]Paper   doi   link   bibtex  
Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations. Safavigerdini, K.; Nouduri, K.; Surya, R.; Reinhard, A.; Quinlan, Z.; Bunyak, F.; Maschmann, M. R.; and Palaniappan, K. In IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 8-11, 2023, pages 3264–3268, 2023. IEEE
Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations [link]Paper   doi   link   bibtex  
An Ensemble Approach using Self-attention based MobileNetV2 for SAR classification. S., A. K.; Singh, R. P.; Panda, M. K.; and Palaniappan, K. In Singh, V.; Asari, V. K.; Li, K.; and Crespo, R. G., editor(s), International Conference on Machine Learning and Data Engineering, ICMLDE 2023, Dehradun, India, 23-24 November 2023, volume 235, of Procedia Computer Science, pages 3207–3216, 2023. Elsevier
An Ensemble Approach using Self-attention based MobileNetV2 for SAR classification [link]Paper   doi   link   bibtex  
Automatic Skull Shape Completion of Defective Skulls Using Transformers for Cranial Implant Design. S, R.; Singh, R. P.; and Palaniappan, K. In Singh, V.; Asari, V. K.; Li, K.; and Crespo, R. G., editor(s), International Conference on Machine Learning and Data Engineering, ICMLDE 2023, Dehradun, India, 23-24 November 2023, volume 235, of Procedia Computer Science, pages 3305–3314, 2023. Elsevier
Automatic Skull Shape Completion of Defective Skulls Using Transformers for Cranial Implant Design [link]Paper   doi   link   bibtex  
Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation. Toubal, I. E.; Kazemi, E. S.; Rahmon, G.; Kucukpinar, T.; Almansour, M.; Ho, M.; and Palaniappan, K. In Bao, R.; Grant, E.; Kirkpatrick, A.; Wachs, J. P.; and Ou, Y., editor(s), AI for Brain Lesion Detection and Trauma Video Action Recognition - First BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12-16, 2023, Proceedings, volume 14567, of Lecture Notes in Computer Science, pages 3–13, 2023. Springer
Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation [link]Paper   doi   link   bibtex  
Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy. Kazemi, E. S.; Toubal, I. E.; Rahmon, G.; Kucukpinar, T.; Almansour, M.; Ho, M.; and Palaniappan, K. In Bao, R.; Grant, E.; Kirkpatrick, A.; Wachs, J. P.; and Ou, Y., editor(s), AI for Brain Lesion Detection and Trauma Video Action Recognition - First BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12-16, 2023, Proceedings, volume 14567, of Lecture Notes in Computer Science, pages 14–22, 2023. Springer
Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy [link]Paper   doi   link   bibtex  
Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing. Morel, A. E.; Ufuktepe, E.; Grant, C.; Elfrink, S.; Qu, C.; Calyam, P.; and Palaniappan, K. In NOMS 2023, IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, May 8-12, 2023, pages 1–7, 2023. IEEE
Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing [link]Paper   doi   link   bibtex  
Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations. Safavigerdini, K.; Nouduri, K.; Surya, R.; Reinhard, A.; Quinlan, Z.; Bunyak, F.; Maschmann, M. R.; and Palaniappan, K. CoRR, abs/2307.07912. 2023.
Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations [link]Paper   doi   link   bibtex  
  2022 (10)
LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos. Wang, Y. Y.; Hamad, A. S.; Palaniappan, K.; Lever, T. E.; and Bunyak, F. Comput. Biol. Medicine, 144: 105339. 2022.
LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos [link]Paper   doi   link   bibtex  
Tracking Code Bug Fix Ripple Effects Based on Change Patterns Using Markov Chain Models. Ufuktepe, E.; Tuglular, T.; and Palaniappan, K. IEEE Trans. Reliab., 71(2): 1141–1156. 2022.
Tracking Code Bug Fix Ripple Effects Based on Change Patterns Using Markov Chain Models [link]Paper   doi   link   bibtex  
A Down-to-Earth Approach for Camera to World Map Georeferencing Using SfM. Krock, T.; Collins, J.; Fraser, J.; Akbarpour, H. A.; and Palaniappan, K. In 51st IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2022, Washington, DC, USA, October 11-13, 2022, pages 1–7, 2022. IEEE
A Down-to-Earth Approach for Camera to World Map Georeferencing Using SfM [link]Paper   doi   link   bibtex  
A comparison of features Synthetic WAMI and GES of the same location. Nouduri, K.; James, J.; Fraser, J.; Akbarpour, H. A.; and Palaniappan, K. In 51st IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2022, Washington, DC, USA, October 11-13, 2022, pages 1–8, 2022. IEEE
A comparison of features Synthetic WAMI and GES of the same location [link]Paper   doi   link   bibtex  
Detecting Software Code Vulnerabilities Using 2D Convolutional Neural Networks with Program Slicing Feature Maps. Watson, A.; Ufuktepe, E.; and Palaniappan, K. In 51st IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2022, Washington, DC, USA, October 11-13, 2022, pages 1–9, 2022. IEEE
Detecting Software Code Vulnerabilities Using 2D Convolutional Neural Networks with Program Slicing Feature Maps [link]Paper   doi   link   bibtex  
Networked and Multimodal 3D Modeling of Cities for Collaborative Virtual Environments. Hall, B.; Kessler, J.; Edo-Ohanba, O.; Collins, J.; Zhang, H.; Allegreti, N.; Duan, Y.; Wang, S.; Palaniappan, K.; and Calyam, P. In IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022, Vancouver, WA, USA, December 6-9, 2022, pages 204–212, 2022. IEEE
Networked and Multimodal 3D Modeling of Cities for Collaborative Virtual Environments [link]Paper   doi   link   bibtex  
CAVE-VR and Unity Game Engine for Visualizing City Scale 3D Meshes. Davis, C.; Collins, J.; Fraser, J.; Zhang, H.; Yao, S.; Lattanzio, E.; Balakrishnan, B.; Duan, Y.; Calyam, P.; and Palaniappan, K. In 19th IEEE Annual Consumer Communications & Networking Conference, CCNC 2022, Las Vegas, NV, USA, January 8-11, 2022, pages 733–734, 2022. IEEE
CAVE-VR and Unity Game Engine for Visualizing City Scale 3D Meshes [link]Paper   doi   link   bibtex  
Remote Instrumentation Science Environment for Intelligent Image Analytics. Alarcon, M. L.; Wang, S.; Nguyen, N. P.; Pandey, A.; Bunyak, F.; Maschmann, M. R.; Palaniappan, K.; and Calyam, P. In 18th IEEE International Conference on e-Science, e-Science 2022, Salt Lake City, UT, USA, October 11-14, 2022, pages 84–94, 2022. IEEE
Remote Instrumentation Science Environment for Intelligent Image Analytics [link]Paper   doi   link   bibtex  
Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. Nguyen, N. P.; Surya, R.; Maschmann, M. R.; Calyam, P.; Palaniappan, K.; and Bunyak, F. In Karlinsky, L.; Michaeli, T.; and Nishino, K., editor(s), Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VIII, volume 13808, of Lecture Notes in Computer Science, pages 412–428, 2022. Springer
Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery [link]Paper   doi   link   bibtex  
Multi-Expert Deep Networks for Multi-Disease Detection in Retinal Fundus Images. Lyu, L.; Toubal, I. E.; and Palaniappan, K. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, pages 1818–1822, 2022. IEEE
Multi-Expert Deep Networks for Multi-Disease Detection in Retinal Fundus Images [link]Paper   doi   link   bibtex  
  2021 (15)
DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics. Qu, C.; Calyam, P.; Yu, J.; Vandanapu, A.; Opeoluwa, O.; Gao, K.; Wang, S.; Chastain, R. L.; and Palaniappan, K. Future Gener. Comput. Syst., 125: 247–262. 2021.
DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics [link]Paper   doi   link   bibtex  
DCT-Based Local Descriptor for Robust Matching and Feature Tracking in Wide Area Motion Imagery. Gao, K.; Aliakbarpour, H.; Seetharaman, G.; and Palaniappan, K. IEEE Geosci. Remote. Sens. Lett., 18(8): 1441–1445. 2021.
DCT-Based Local Descriptor for Robust Matching and Feature Tracking in Wide Area Motion Imagery [link]Paper   doi   link   bibtex  
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. Kassim, Y. M.; Palaniappan, K.; Yang, F.; Poostchi, M.; Palaniappan, N.; Maude, R. J.; Antani, S. K.; and Jäger, S. IEEE J. Biomed. Health Informatics, 25(5): 1735–1746. 2021.
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears [link]Paper   doi   link   bibtex  
On QoE-Oriented Cloud Service Orchestration for Application Providers. Chemodanov, D.; Calyam, P.; Valluripally, S.; Trinh, H.; Patman, J.; and Palaniappan, K. IEEE Trans. Serv. Comput., 14(4): 1194–1208. 2021.
On QoE-Oriented Cloud Service Orchestration for Application Providers [link]Paper   doi   link   bibtex  
Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images. Rahmon, G.; Toubal, I. E.; and Palaniappan, K. In 50th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2021, Washington, DC, USA, October 12-14, 2021, pages 1–7, 2021. IEEE
Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images [link]Paper   doi   link   bibtex  
Auto-SDist: An Automatic COVID-19 Social Distancing and Room Management System Architecture for Indoors. Shutt, K.; Nawawi, W. F. W.; Schulte, G.; Martinez-Sainz, J.; Ufuktepe, E.; and Palaniappan, K. In 50th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2021, Washington, DC, USA, October 12-14, 2021, pages 1–6, 2021. IEEE
Auto-SDist: An Automatic COVID-19 Social Distancing and Room Management System Architecture for Indoors [link]Paper   doi   link   bibtex  
Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. Ufuktepe, D. K.; Yang, F.; Kassim, Y. M.; Yu, H.; Maude, R. J.; Palaniappan, K.; and Jaeger, S. In 50th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2021, Washington, DC, USA, October 12-14, 2021, pages 1–6, 2021. IEEE
Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis [link]Paper   doi   link   bibtex  
Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images. Wang, Y. Y.; Glinskii, O. V.; Bunyak, F.; and Palaniappan, K. In 50th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2021, Washington, DC, USA, October 12-14, 2021, pages 1–7, 2021. IEEE
Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images [link]Paper   doi   link   bibtex  
3D Modeling of Cities for Virtual Environments. Davis, C.; Collins, J.; Fraser, J.; Zhang, H.; Yao, S.; Lattanzio, E.; Balakrishnan, B.; Duan, Y.; Calyam, P.; and Palaniappan, K. In Chen, Y.; Ludwig, H.; Tu, Y.; Fayyad, U. M.; Zhu, X.; Hu, X.; Byna, S.; Liu, X.; Zhang, J.; Pan, S.; Papalexakis, V.; Wang, J.; Cuzzocrea, A.; and Ordonez, C., editor(s), 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 5587–5596, 2021. IEEE
3D Modeling of Cities for Virtual Environments [link]Paper   doi   link   bibtex  
Single View Facial Age Estimation Using Deep Learning with Cascaded Random Forests. Toubal, I. E.; Lyu, L.; Lin, D.; and Palaniappan, K. In Tsapatsoulis, N.; Panayides, A.; Theocharides, T.; Lanitis, A.; Pattichis, C. S.; and Vento, M., editor(s), Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part II, volume 13053, of Lecture Notes in Computer Science, pages 285–296, 2021. Springer
Single View Facial Age Estimation Using Deep Learning with Cascaded Random Forests [link]Paper   doi   link   bibtex  
Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking. Al-Shakarji, N.; Gao, K.; Bunyak, F.; Aliakbarpour, H.; Blasch, E.; Narayaran, P.; Seetharaman, G.; and Palaniappan, K. In 24th IEEE International Conference on Information Fusion, FUSION 2021, Sun City, South Africa, November 1-4, 2021, pages 1–8, 2021. IEEE
Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking [link]Paper   link   bibtex  
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking. Bao, R.; Al-Shakarji, N. M.; Bunyak, F.; and Palaniappan, K. In IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, QC, Canada, October 11-17, 2021, pages 3354–3363, 2021. IEEE
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking [link]Paper   doi   link   bibtex  
Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds. Ufuktepe, D. K.; Collins, J.; Ufuktepe, E.; Fraser, J.; Krock, T.; and Palaniappan, K. In IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, QC, Canada, October 11-17, 2021, pages 3919–3928, 2021. IEEE
Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds [link]Paper   doi   link   bibtex  
The Relation between Bug Fix Change Patterns and Change Impact Analysis. Ufuktepe, E.; Tuglular, T.; and Palaniappan, K. In 21st IEEE International Conference on Software Quality, Reliability and Security, QRS 2021, Hainan, China, December 6-10, 2021, pages 1089–1099, 2021. IEEE
The Relation between Bug Fix Change Patterns and Change Impact Analysis [link]Paper   doi   link   bibtex  
"Do You Know You Are Tracked by Photos That You Didn't Take": Location-Aware Multi-Party Image Privacy Protection. Morris, J.; Newman, S.; Palaniappan, K.; Fan, J.; and Lin, D. CoRR, abs/2103.10851. 2021.
"Do You Know You Are Tracked by Photos That You Didn't Take": Location-Aware Multi-Party Image Privacy Protection [link]Paper   link   bibtex  
  2020 (20)
A Near Optimal Reliable Orchestration Approach for Geo-Distributed Latency-Sensitive SFCs. Chemodanov, D.; Calyam, P.; Esposito, F.; McGarvey, R. G.; Palaniappan, K.; and Pescapè, A. IEEE Trans. Netw. Sci. Eng., 7(4): 2730–2745. 2020.
A Near Optimal Reliable Orchestration Approach for Geo-Distributed Latency-Sensitive SFCs [link]Paper   doi   link   bibtex  
Predictive Cyber Foraging for Visual Cloud Computing in Large-Scale IoT Systems. Patman, J.; Chemodanov, D.; Calyam, P.; Palaniappan, K.; Sterle, C.; and Boccia, M. IEEE Trans. Netw. Serv. Manag., 17(4): 2380–2395. 2020.
Predictive Cyber Foraging for Visual Cloud Computing in Large-Scale IoT Systems [link]Paper   doi   link   bibtex  
Interactive Global Mosaic Stitching from Mesentery Video Sequences. Aktar, R.; Huxley, V. H.; Guidoboni, G.; Glinskii, O. V.; and Palaniappan, K. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020, pages 1–5, 2020. IEEE
Interactive Global Mosaic Stitching from Mesentery Video Sequences [link]Paper   doi   link   bibtex  
Semi-automatic System for Rapid Annotation of Moving Objects in Surveillance Videos using Deep Detection and Multi-object Tracking Techniques. Al-Shakarji, N. M.; Ufuktepe, E.; Bunyak, F.; Aliakbarpour, H.; Seetharaman, G.; and Palaniappan, K. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020, pages 1–6, 2020. IEEE
Semi-automatic System for Rapid Annotation of Moving Objects in Surveillance Videos using Deep Detection and Multi-object Tracking Techniques [link]Paper   doi   link   bibtex  
Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning. Lewis, J. K.; Toubal, I. E.; Chen, H.; Sandesera, V.; Lomnitz, M.; Hampel-Arias, Z.; Calyam, P.; and Palaniappan, K. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020, pages 1–9, 2020. IEEE
Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning [link]Paper   doi   link   bibtex  
Enhancing Network-edge Connectivity and Computation Security in Drone Video Analytics. Morel, A. E.; Ufuktepe, D. K.; Ignatowicz, R.; Riddle, A.; Qu, C.; Calyam, P.; and Palaniappan, K. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020, pages 1–12, 2020. IEEE
Enhancing Network-edge Connectivity and Computation Security in Drone Video Analytics [link]Paper   doi   link   bibtex  
Evaluation of Different Decision Fusion Mechanisms for Robust Moving Object Detection. Rahmon, G.; Bunyak, F.; Seetharaman, G.; and Palaniappan, K. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020, pages 1–7, 2020. IEEE
Evaluation of Different Decision Fusion Mechanisms for Robust Moving Object Detection [link]Paper   doi   link   bibtex  
A Hybrid Approach for Human Activity Recognition with Support Vector Machine and 1D Convolutional Neural Network. Shuvo, M. M. H.; Ahmed, N.; Nouduri, K.; and Palaniappan, K. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020, pages 1–5, 2020. IEEE
A Hybrid Approach for Human Activity Recognition with Support Vector Machine and 1D Convolutional Neural Network [link]Paper   doi   link   bibtex  
SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis. Yao, S.; Wang, Y.; Aliakbarpour, H.; Seetharaman, G.; Rao, R. M.; and Palaniappan, K. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020, pages 1–6, 2020. IEEE
SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis [link]Paper   doi   link   bibtex  
CorNet: Unsupervised Deep Homography Estimation for Agricultural Aerial Imagery. Kharismawati, D. E.; Akbarpour, H. A.; Aktar, R.; Bunyak, F.; Palaniappan, K.; and Kazic, T. In Bartoli, A.; and Fusiello, A., editor(s), Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part VI, volume 12540, of Lecture Notes in Computer Science, pages 400–417, 2020. Springer
CorNet: Unsupervised Deep Homography Estimation for Agricultural Aerial Imagery [link]Paper   doi   link   bibtex  
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results. Fan, H.; Du, D.; Wen, L.; Zhu, P.; Hu, Q.; Ling, H.; Shah, M.; Pan, J.; Schumann, A.; Dong, B.; Stadler, D.; Xu, D.; Bunyak, F.; Seetharaman, G.; Liu, G.; Haritha, V.; S, H. P.; Han, J.; Palaniappan, K.; Zhu, K.; Sommer, L. W.; Zhang, L.; Shine, L.; Yao, M.; Al-Shakarji, N. M.; Li, S.; Sun, T.; Sai, W.; Yu, W.; Wu, X.; Hong, X.; Wei, X.; Zhao, X.; Zhao, Y.; Gong, Y.; Yao, Y.; He, Y.; Zhao, Z.; Xie, Z.; Yang, Z.; Xu, Z.; Luo, Z.; and Duan, Z. In Bartoli, A.; and Fusiello, A., editor(s), Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part IV, volume 12538, of Lecture Notes in Computer Science, pages 713–727, 2020. Springer
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results [link]Paper   doi   link   bibtex  
Small Object Bird Detection in Infrared Drone Videos Using Mask R-CNN Deep Learning. Kassim, Y. M.; Byrne, M. E.; Burch, C.; Mote, K.; Hardin, J.; Larsen, D. R.; and Palaniappan, K. In Allebach, J. P.; Fan, Z.; and Lin, Q., editor(s), Imaging and Multimedia Analytics in a Web and Mobile World 2020, Burlingame, CA, USA, January 26-30, 2020, pages 1–8, 2020. Society for Imaging Science and Technology
Small Object Bird Detection in Infrared Drone Videos Using Mask R-CNN Deep Learning [link]Paper   doi   link   bibtex  
Dynamic Computation Off-loading and Control based on Occlusion Detection in Drone Video Analytics. Ramisetty, R. R.; Qu, C.; Aktar, R.; Wang, S.; Calyam, P.; and Palaniappan, K. In Mukherjee, N.; and Pemmaraju, S. V., editor(s), ICDCN 2020: 21st International Conference on Distributed Computing and Networking, Kolkata, India, January 4-7, 2020, pages 28:1–28:10, 2020. ACM
Dynamic Computation Off-loading and Control based on Occlusion Detection in Drone Video Analytics [link]Paper   doi   link   bibtex  
Mosaicing of Dynamic Mesentery Video with Gradient Blending. Aktar, R.; Huxley, V. H.; Guidoboni, G.; Aliakbarpour, H.; Bunyak, F.; and Palaniappan, K. In IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020, pages 563–567, 2020. IEEE
Mosaicing of Dynamic Mesentery Video with Gradient Blending [link]Paper   doi   link   bibtex  
Deep Learning Based Landmark Matching For Aerial Geolocalization. Nouduri, K.; Bunyak, F.; Yao, S.; Aliakbarpour, H.; Agarwal, S.; Rao, R. M.; and Palaniappan, K. In IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020, pages 1911–1915, 2020. IEEE
Deep Learning Based Landmark Matching For Aerial Geolocalization [link]Paper   doi   link   bibtex  
Rtip: A Fully Automated Root Tip Tracker For Measuring Plant Growth With Intermittent Perturbations. Ufuktepe, D. K.; Palaniappan, K.; Elmali, M.; and Baskin, T. I. In IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020, pages 2516–2520, 2020. IEEE
Rtip: A Fully Automated Root Tip Tracker For Measuring Plant Growth With Intermittent Perturbations [link]Paper   doi   link   bibtex  
City-Scale Point Cloud Stitching Using 2D/3D Registration for Large Geographical Coverage. Yao, S.; Akbarpour, H. A.; Seetharaman, G.; and Palaniappan, K. In Bimbo, A. D.; Cucchiara, R.; Sclaroff, S.; Farinella, G. M.; Mei, T.; Bertini, M.; Escalante, H. J.; and Vezzani, R., editor(s), Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part VIII, volume 12668, of Lecture Notes in Computer Science, pages 32–45, 2020. Springer
City-Scale Point Cloud Stitching Using 2D/3D Registration for Large Geographical Coverage [link]Paper   doi   link   bibtex  
Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map. Shuvo, M. M. H.; Kassim, Y. M.; Bunyak, F.; Glinskii, O. V.; Xie, L.; Glinsky, V. V.; Huxley, V. H.; Thakkar, M. M.; and Palaniappan, K. In 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, pages 4317–4323, 2020. IEEE
Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map [link]Paper   doi   link   bibtex  
Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation. Rahmon, G.; Bunyak, F.; Seetharaman, G.; and Palaniappan, K. In 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, pages 8125–8132, 2020. IEEE
Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation [link]Paper   doi   link   bibtex  
Deep Realistic Novel View Generation for City-Scale Aerial Images. Nouduri, K.; Gao, K.; Fraser, J.; Yao, S.; Aliakbarpour, H.; Bunyak, F.; and Palaniappan, K. In 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, pages 10561–10567, 2020. IEEE
Deep Realistic Novel View Generation for City-Scale Aerial Images [link]Paper   doi   link   bibtex  
  2019 (12)
Facial expression recognition for monitoring neurological disorders based on convolutional neural network. Yolcu, G.; Oztel, I.; Kazan, S.; Öz, C.; Palaniappan, K.; Lever, T. E.; and Bunyak, F. Multim. Tools Appl., 78(22): 31581–31603. 2019.
Facial expression recognition for monitoring neurological disorders based on convolutional neural network [link]Paper   doi   link   bibtex  
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images. Al-Milaji, Z.; Ersoy, I.; Hafiane, A.; Palaniappan, K.; and Bunyak, F. Pattern Recognit. Lett., 119: 214–221. 2019.
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images [link]Paper   doi   link   bibtex  
Multiscale Structure Tensor for Improved Feature Extraction and Image Regularization. Prasath, V. B. S.; Pelapur, R.; Seetharaman, G.; and Palaniappan, K. IEEE Trans. Image Process., 28(12): 6198–6210. 2019.
Multiscale Structure Tensor for Improved Feature Extraction and Image Regularization [link]Paper   doi   link   bibtex  
A Method for Online Interpolation of Packet-Loss Blocks in Streaming Video. Aktar, R.; Palaniappan, K.; and Uhlmann, J. In 48th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2019, Washington, DC, USA, October 15-17, 2019, pages 1–7, 2019. IEEE
A Method for Online Interpolation of Packet-Loss Blocks in Streaming Video [link]Paper   doi   link   bibtex  
Performance Evaluation of Semantic Video Compression using Multi-cue Object Detection. Al-Shakarji, N. M.; Bunyak, F.; Aliakbarpour, H.; Seetharaman, G.; and Palaniappan, K. In 48th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2019, Washington, DC, USA, October 15-17, 2019, pages 1–8, 2019. IEEE
Performance Evaluation of Semantic Video Compression using Multi-cue Object Detection [link]Paper   doi   link   bibtex  
GLSNet: Global and Local Streams Network for 3D Point Cloud Classification. Bao, R.; Palaniappan, K.; Zhao, Y.; Seetharaman, G.; and Zeng, W. In 48th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2019, Washington, DC, USA, October 15-17, 2019, pages 1–9, 2019. IEEE
GLSNet: Global and Local Streams Network for 3D Point Cloud Classification [link]Paper   doi   link   bibtex  
Sensitivity of Multiview 3D Point Cloud Reconstruction to Compression Quality and Image Feature Detectability. Gao, K.; Yao, S.; Aliakbarpour, H.; Agarwal, S.; Seetharaman, G.; and Palaniappan, K. In 48th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2019, Washington, DC, USA, October 15-17, 2019, pages 1–6, 2019. IEEE
Sensitivity of Multiview 3D Point Cloud Reconstruction to Compression Quality and Image Feature Detectability [link]Paper   doi   link   bibtex  
Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning. Hajilounezhad, T.; Oraibi, Z. A.; Surya, R.; Bunyak, F.; Maschmann, M. R.; Calyam, P.; and Palaniappan, K. In 48th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2019, Washington, DC, USA, October 15-17, 2019, pages 1–8, 2019. IEEE
Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning [link]Paper   doi   link   bibtex  
Multi-Cue Vehicle Detection for Semantic Video Compression in Georegistered Aerial Videos. Al-Shakarji, N.; Bunyak, F.; Aliakbarpour, H.; Seetharaman, G.; and Palaniappan, K. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, pages 56–65, 2019. Computer Vision Foundation / IEEE
Multi-Cue Vehicle Detection for Semantic Video Compression in Georegistered Aerial Videos [link]Paper   link   bibtex  
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. Wen, L.; Zhang, Y.; Bo, L.; Shi, H.; Zhu, R.; Jadhav, A.; Dong, B.; Lall, B.; Liu, C.; Zhang, C.; Wang, D.; Zhu, P.; Ni, F.; Bunyak, F.; Wang, G.; Liu, G.; Seetharaman, G.; Li, G.; Ardö, H.; Zhang, H.; Yu, H.; Lu, H.; Du, D.; Hwang, J.; Mu, J.; Hu, J.; Palaniappan, K.; Chen, L.; Ding, L.; Lauer, M.; Nilsson, M. G.; Al-Shakarji, N. M.; Mukherjee, P.; Bian, X.; Huang, Q.; Laganière, R.; Chen, S.; Pan, S.; Kaushik, V.; Shi, W.; Tian, W.; Li, W.; Chen, X.; Zhang, X.; Ling, H.; Zhang, Y.; Zhao, Y.; Wang, Y.; Song, Y.; Yao, Y.; Chen, Z.; Xu, Z.; Xiao, Z.; Tong, Z.; Luo, Z.; Hu, Q.; Sun, Z.; Zheng, J.; Peng, T.; and Wang, X. In 2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, pages 189–198, 2019. IEEE
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results [link]Paper   doi   link   bibtex  
Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation. Kassim, Y. M.; Glinskii, O. V.; Glinsky, V. V.; Huxley, V. H.; Guidoboni, G.; and Palaniappan, K. In 2019 IEEE International Conference on Image Processing, ICIP 2019, Taipei, Taiwan, September 22-25, 2019, pages 1445–1449, 2019. IEEE
Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation [link]Paper   doi   link   bibtex  
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos. Al-Shakarji, N.; Bunyak, F.; Aliakbarpour, H.; Seetharaman, G.; and Palaniappan, K. CoRR, abs/1907.01176. 2019.
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos [link]Paper   link   bibtex  
  2018 (14)
Energy-Aware Mobile Edge Computing and Routing for Low-Latency Visual Data Processing. Trinh, H.; Calyam, P.; Chemodanov, D.; Yao, S.; Lei, Q.; Gao, F.; and Palaniappan, K. IEEE Trans. Multim., 20(10): 2562–2577. 2018.
Energy-Aware Mobile Edge Computing and Routing for Low-Latency Visual Data Processing [link]Paper   doi   link   bibtex  
Multiview Boosting With Information Propagation for Classification. Peng, J.; Aved, A. J.; Seetharaman, G.; and Palaniappan, K. IEEE Trans. Neural Networks Learn. Syst., 29(3): 657–669. 2018.
Multiview Boosting With Information Propagation for Classification [link]Paper   doi   link   bibtex  
Performance Evaluation of Feature Descriptors for Aerial Imagery Mosaicking. Aktar, R.; Aliakbarpour, H.; Bunyak, F.; Seetharaman, G.; and Palaniappan, K. In 47th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, Washington, DC, USA, October 9-11, 2018, pages 1–7, 2018. IEEE
Performance Evaluation of Feature Descriptors for Aerial Imagery Mosaicking [link]Paper   doi   link   bibtex  
Robust Multi-object Tracking for Wide Area Motion Imagery. Al-Shakarji, N. M.; Bunyak, F.; Seetharaman, G.; and Palaniappan, K. In 47th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, Washington, DC, USA, October 9-11, 2018, pages 1–5, 2018. IEEE
Robust Multi-object Tracking for Wide Area Motion Imagery [link]Paper   doi   link   bibtex  
Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery. Kassim, Y. M.; Glinskii, O. V.; Glinsky, V. V.; Huxley, V. H.; and Palaniappan, K. In 47th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, Washington, DC, USA, October 9-11, 2018, pages 1–5, 2018. IEEE
Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery [link]Paper   doi   link   bibtex  
BioSense: Real-Time Object Tracking for Animal Movement and Behavior Research. Patman, J.; Michael, S. C. J.; Lutnesky, M. M. F.; and Palaniappan, K. In 47th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, Washington, DC, USA, October 9-11, 2018, pages 1–8, 2018. IEEE
BioSense: Real-Time Object Tracking for Animal Movement and Behavior Research [link]Paper   doi   link   bibtex  
Multi-object Tracking Cascade with Multi-Step Data Association and Occlusion Handling. Al-Shakarji, N. M.; Bunyak, F.; Seetharaman, G.; and Palaniappan, K. In 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2018, Auckland, New Zealand, November 27-30, 2018, pages 1–6, 2018. IEEE
Multi-object Tracking Cascade with Multi-Step Data Association and Occlusion Handling [link]Paper   doi   link   bibtex  
UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. Lyu, S.; Chang, M.; Du, D.; Li, W.; Wei, Y.; Coco, M. D.; Carcagnì, P.; Schumann, A.; Munjal, B.; Dang, D.; Choi, D.; Bochinski, E.; Galasso, F.; Bunyak, F.; Seetharaman, G.; Baek, J.; Lee, J. T.; Palaniappan, K.; Lim, K.; Moon, K.; Kim, K.; Sommer, L.; Brandlmaier, M.; Kang, M.; Jeon, M.; Al-Shakarji, N. M.; Acatay, O.; Kim, P.; Amin, S.; Sikora, T.; Dinh, T. B.; Senst, T.; Che, V.; Lim, Y.; Song, Y.; and Chung, Y. In 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2018, Auckland, New Zealand, November 27-30, 2018, pages 1–6, 2018. IEEE
UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring [link]Paper   doi   link   bibtex  
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. Zhu, P.; Wen, L.; Du, D.; Bian, X.; Ling, H.; Hu, Q.; Wu, H.; Nie, Q.; Cheng, H.; Liu, C.; Liu, X.; Ma, W.; Wang, L.; Schumann, A.; Wang, D.; Ortego, D.; Luna, E.; Michail, E.; Bochinski, E.; Ni, F.; Bunyak, F.; Zhang, G.; Seetharaman, G.; Li, G.; Yu, H.; Kompatsiaris, I.; Zhao, J.; Gao, J.; Martínez, J. M.; SanMiguel, J. C.; Palaniappan, K.; Avgerinakis, K.; Sommer, L. W.; Lauer, M.; Liu, M.; Al-Shakarji, N. M.; Acatay, O.; Giannakeris, P.; Zhao, Q.; Ma, Q.; Huang, Q.; Vrochidis, S.; Sikora, T.; Senst, T.; Song, W.; Tian, W.; Zhang, W.; Zhao, Y.; Bai, Y.; Wu, Y.; Wang, Y.; Li, Y.; Pi, Z.; and Ma, Z. In Leal-Taixé, L.; and Roth, S., editor(s), Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part V, volume 11133, of Lecture Notes in Computer Science, pages 496–518, 2018. Springer
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results [link]Paper   doi   link   bibtex  
Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction. Kassim, Y. M.; Maude, R. J.; and Palaniappan, K. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, HI, USA, July 18-21, 2018, pages 2736–2739, 2018. IEEE
Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction [link]Paper   doi   link   bibtex  
Learning Local and Deep Features for Efficient Cell Image Classification Using Random Forests. Oraibi, Z. A.; Yousif, H.; Hafiane, A.; Seetharaman, G.; and Palaniappan, K. In 2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018, pages 2446–2450, 2018. IEEE
Learning Local and Deep Features for Efficient Cell Image Classification Using Random Forests [link]Paper   doi   link   bibtex  
Predictive analytics for fog computing using machine learning and GENI. Patman, J.; Alfarhood, M.; Islam, S.; Lemus, M.; Calyam, P.; and Palaniappan, K. In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops, INFOCOM Workshops 2018, Honolulu, HI, USA, April 15-19, 2018, pages 790–795, 2018. IEEE
Predictive analytics for fog computing using machine learning and GENI [link]Paper   doi   link   bibtex  
Dissecting branchiomotor neuron circuits in zebrafish - toward high-throughput automated analysis of jaw movements. Kassim, Y. M.; Al-Shakarji, N. M.; Asante, E.; Chandrasekhar, A.; and Palaniappan, K. In 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, pages 943–947, 2018. IEEE
Dissecting branchiomotor neuron circuits in zebrafish - toward high-throughput automated analysis of jaw movements [link]Paper   doi   link   bibtex  
EpiX: A 3D Measurement Tool for Heritage, Archeology, and Aerial Photogrammetry. Yao, S.; Yu, H.; Aliakbarpour, H.; Seetharaman, G.; and Palaniappan, K. In Chanda, B.; Chaudhuri, S.; and Chaudhury, S., editor(s), Heritage Preservation - A Computational Approach, pages 47–66. Springer, 2018.
EpiX: A 3D Measurement Tool for Heritage, Archeology, and Aerial Photogrammetry [link]Paper   doi   link   bibtex  
  2017 (19)
Incident-Supporting Visual Cloud Computing Utilizing Software-Defined Networking. Gargees, R.; Morago, B.; Pelapur, R.; Chemodanov, D.; Calyam, P.; Oraibi, Z. A.; Duan, Y.; Seetharaman, G.; and Palaniappan, K. IEEE Trans. Circuits Syst. Video Technol., 27(1): 182–197. 2017.
Incident-Supporting Visual Cloud Computing Utilizing Software-Defined Networking [link]Paper   doi   link   bibtex  
Parallax-Tolerant Aerial Image Georegistration and Efficient Camera Pose Refinement - Without Piecewise Homographies. Aliakbarpour, H.; Palaniappan, K.; and Seetharaman, G. IEEE Trans. Geosci. Remote. Sens., 55(8): 4618–4637. 2017.
Parallax-Tolerant Aerial Image Georegistration and Efficient Camera Pose Refinement - Without Piecewise Homographies [link]Paper   doi   link   bibtex  
Camera Auto-calibration for Planar Aerial Imagery, Supported by Camera Metadata. Akay, A.; Aliakbarpour, H.; Palaniappan, K.; and Seetharaman, G. In 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017, Washington, DC, USA, October 10-12, 2017, pages 1–5, 2017. IEEE Computer Society
Camera Auto-calibration for Planar Aerial Imagery, Supported by Camera Metadata [link]Paper   doi   link   bibtex  
Vehicle Tracking in Wide Area Motion Imagery using KC- LoFT Multi-Feature Discriminative Modeling. Al-Shakarji, N. M.; Bunyak, F.; Seetharaman, G.; and Palaniappan, K. In 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017, Washington, DC, USA, October 10-12, 2017, pages 1–6, 2017. IEEE Computer Society
Vehicle Tracking in Wide Area Motion Imagery using KC- LoFT Multi-Feature Discriminative Modeling [link]Paper   doi   link   bibtex  
Unsupervised Learning Method for Plant and Leaf Segmentation. Al-Shakarji, N. M.; Kassim, Y. M.; and Palaniappan, K. In 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017, Washington, DC, USA, October 10-12, 2017, pages 1–4, 2017. IEEE Computer Society
Unsupervised Learning Method for Plant and Leaf Segmentation [link]Paper   doi   link   bibtex  
Texture Classification using Multiple Local Descriptors. Oraibi, Z. A.; Irio, M.; Hafiane, A.; and Palaniappan, K. In 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017, Washington, DC, USA, October 10-12, 2017, pages 1–7, 2017. IEEE Computer Society
Texture Classification using Multiple Local Descriptors [link]Paper   doi   link   bibtex  
Multi-Scale Spatially Weighted Local Histograms in O(1). Poostchi, M.; Shafiekhani, A.; Palaniappan, K.; and Seetharaman, G. In 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017, Washington, DC, USA, October 10-12, 2017, pages 1–7, 2017. IEEE Computer Society
Multi-Scale Spatially Weighted Local Histograms in O(1) [link]Paper   doi   link   bibtex  
Robust multi-object tracking with semantic color correlation. Al-Shakarji, N. M.; Seetharaman, G.; Bunyak, F.; and Palaniappan, K. In 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, Italy, August 29 - September 1, 2017, pages 1–7, 2017. IEEE Computer Society
Robust multi-object tracking with semantic color correlation [link]Paper   doi   link   bibtex  
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. Lyu, S.; Chang, M.; Du, D.; Wen, L.; Qi, H.; Li, Y.; Wei, Y.; Ke, L.; Hu, T.; Coco, M. D.; Carcagnì, P.; Anisimov, D.; Bochinski, E.; Galasso, F.; Bunyak, F.; Han, G.; Ye, H.; Wang, H.; Palaniappan, K.; Ozcan, K.; Wang, L.; Wang, L.; Lauer, M.; Watcharapinchai, N.; Song, N.; Al-Shakarji, N. M.; Wang, S.; Amin, S.; Rujikietgumjorn, S.; Khanova, T.; Sikora, T.; Kutschbach, T.; Eiselein, V.; Tian, W.; Xue, X.; Yu, X.; Lu, Y.; Zheng, Y.; Huang, Y.; and Zhang, Y. In 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, Italy, August 29 - September 1, 2017, pages 1–7, 2017. IEEE Computer Society
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring [link]Paper   doi   link   bibtex  
Spatial pyramid context-aware moving vehicle detection and tracking in urban aerial imagery. Poostchi, M.; Palaniappan, K.; and Seetharaman, G. In 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, Italy, August 29 - September 1, 2017, pages 1–6, 2017. IEEE Computer Society
Spatial pyramid context-aware moving vehicle detection and tracking in urban aerial imagery [link]Paper   doi   link   bibtex  
Extracting retinal vascular networks using deep learning architecture. Kassim, Y. M.; and Palaniappan, K. In Hu, X.; Shyu, C.; Bromberg, Y.; Gao, J.; Gong, Y.; Korkin, D.; Yoo, I.; and Zheng, H. J., editor(s), 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017, pages 1170–1174, 2017. IEEE Computer Society
Extracting retinal vascular networks using deep learning architecture [link]Paper   doi   link   bibtex  
Deep learning-based facial expression recognition for monitoring neurological disorders. Yolcu, G.; Oztel, I.; Kazan, S.; Öz, C.; Palaniappan, K.; Lever, T. E.; and Bunyak, F. In Hu, X.; Shyu, C.; Bromberg, Y.; Gao, J.; Gong, Y.; Korkin, D.; Yoo, I.; and Zheng, H. J., editor(s), 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017, pages 1652–1657, 2017. IEEE Computer Society
Deep learning-based facial expression recognition for monitoring neurological disorders [link]Paper   doi   link   bibtex  
Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding. Bunyak, F.; Shiraishi, N.; Palaniappan, K.; Lever, T. E.; Avivi-Arber, L.; and Takahashi, K. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, July 11-15, 2017, pages 580–583, 2017. IEEE
Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding [link]Paper   doi   link   bibtex  
Energy-Aware Mobile Edge Computing for Low-Latency Visual Data Processing. Trinh, H.; Chemodanov, D.; Yao, S.; Lei, Q.; Zhang, B.; Gao, F.; Calyam, P.; and Palaniappan, K. In Younas, M.; Aleksy, M.; and Bentahar, J., editor(s), 5th IEEE International Conference on Future Internet of Things and Cloud, FiCloud 2017, Prague, Czech Republic, August 21-23, 2017, pages 128–133, 2017. IEEE Computer Society
Energy-Aware Mobile Edge Computing for Low-Latency Visual Data Processing [link]Paper   doi   link   bibtex  
The Visual Object Tracking VOT2017 Challenge Results. Kristan, M.; Leonardis, A.; Matas, J.; Felsberg, M.; Pflugfelder, R. P.; Zajc, L. C.; Vojir, T.; Häger, G.; Lukezic, A.; Eldesokey, A.; Fernández, G.; García-Martín, Á.; Muhic, A.; Petrosino, A.; Memarmoghadam, A.; Vedaldi, A.; Manzanera, A.; Tran, A.; Alatan, A. A.; Mocanu, B.; Chen, B.; Huang, C.; Xu, C.; Sun, C.; Du, D.; Zhang, D.; Du, D.; Mishra, D.; Gundogdu, E.; Velasco-Salido, E.; Khan, F. S.; Battistone, F.; Subrahmanyam, G. R. K. S.; Bhat, G.; Huang, G.; Bastos, G. S.; Seetharaman, G.; Zhang, H.; Li, H.; Lu, H.; Drummond, I.; Valmadre, J.; Jeong, J.; Cho, J.; Lee, J.; Noskova, J.; Zhu, J.; Gao, J.; Liu, J.; Kim, J.; Henriques, J. F.; Martínez, J. M.; Zhuang, J.; Xing, J.; Gao, J.; Chen, K.; Palaniappan, K.; Lebeda, K.; Gao, K.; Kitani, K. M.; Zhang, L.; Wang, L.; Yang, L.; Wen, L.; Bertinetto, L.; Poostchi, M.; Danelljan, M.; Mueller, M.; Zhang, M.; Yang, M.; Xie, N.; Wang, N.; Miksik, O.; Moallem, P.; Venugopal, P. M.; Senna, P.; Torr, P. H. S.; Wang, Q.; Yu, Q.; Huang, Q.; Nieto, R. M.; Bowden, R.; Liu, R.; Tapu, R.; Hadfield, S.; Lyu, S.; Golodetz, S.; Choi, S.; Zhang, T.; Zaharia, T.; Santopietro, V.; Zou, W.; Hu, W.; Tao, W.; Li, W.; Zhou, W.; Yu, X.; Bian, X.; Li, Y.; Xing, Y.; Fan, Y.; Zhu, Z.; Zhang, Z.; and He, Z. In 2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017, pages 1949–1972, 2017. IEEE Computer Society
The Visual Object Tracking VOT2017 Challenge Results [link]Paper   doi   link   bibtex  
Microvasculature segmentation of arterioles using deep CNN. Kassim, Y. M.; Prasath, V. B. S.; Glinskii, O. V.; Glinsky, V. V.; Huxley, V. H.; and Palaniappan, K. In 2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017, pages 580–584, 2017. IEEE
Microvasculature segmentation of arterioles using deep CNN [link]Paper   doi   link   bibtex  
Museed: A mobile image analysis application for plant seed morphometry. Gao, K.; White, T. A.; Palaniappan, K.; Warmund, M.; and Bunyak, F. In 2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017, pages 2826–2830, 2017. IEEE
Museed: A mobile image analysis application for plant seed morphometry [link]Paper   doi   link   bibtex  
Multi-Scale Spatially Weighted Local Histograms in O(1). Poostchi, M.; Shafiekhani, A.; Palaniappan, K.; and Seetharaman, G. CoRR, abs/1705.03524. 2017.
Multi-Scale Spatially Weighted Local Histograms in O(1) [link]Paper   link   bibtex  
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics. Poostchi, M.; Palaniappan, K.; Li, D.; Becchi, M.; Bunyak, F.; and Seetharaman, G. CoRR, abs/1711.01919. 2017.
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics [link]Paper   link   bibtex  
  2016 (15)
Heterogeneous Multi-View Information Fusion: Review of 3-D Reconstruction Methods and a New Registration with Uncertainty Modeling. Aliakbarpour, H.; Prasath, V. B. S.; Palaniappan, K.; Seetharaman, G.; and Dias, J. IEEE Access, 4: 8264–8285. 2016.
Heterogeneous Multi-View Information Fusion: Review of 3-D Reconstruction Methods and a New Registration with Uncertainty Modeling [link]Paper   doi   link   bibtex  
Video haze removal and poisson blending based mini-mosaics for wide area motion imagery. Aktar, R.; Prasath, V. B. S.; Aliakbarpour, H.; Sampathkumar, U.; Seetharaman, G.; and Palaniappan, K. In 2016 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2016, Washington, DC, USA, October 18-20, 2016, pages 1–7, 2016. IEEE Computer Society
Video haze removal and poisson blending based mini-mosaics for wide area motion imagery [link]Paper   doi   link   bibtex  
CS-LoFT: Color and scale adaptive tracking using max-pooling with bhattacharyya distance. Al-Shakarji, N.; Bunyak, F.; Seetharaman, G.; and Palaniappan, K. In 2016 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2016, Washington, DC, USA, October 18-20, 2016, pages 1–7, 2016. IEEE Computer Society
CS-LoFT: Color and scale adaptive tracking using max-pooling with bhattacharyya distance [link]Paper   doi   link   bibtex  
Confocal vessel structure segmentation with optimized feature bank and random forests. Kassim, Y. M.; Prasath, V. B. S.; Glinskii, O. V.; Glinsky, V. V.; Huxley, V. H.; and Palaniappan, K. In 2016 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2016, Washington, DC, USA, October 18-20, 2016, pages 1–6, 2016. IEEE Computer Society
Confocal vessel structure segmentation with optimized feature bank and random forests [link]Paper   doi   link   bibtex  
Stream implementation of the flux tensor motion flow algorithm using GStreamer and CUDA. Kleiner, D. D.; Palaniappan, K.; and Seetharaman, G. S. In 2016 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2016, Washington, DC, USA, October 18-20, 2016, pages 1–7, 2016. IEEE Computer Society
Stream implementation of the flux tensor motion flow algorithm using GStreamer and CUDA [link]Paper   doi   link   bibtex  
Assisted ground truth generation using interactive segmentation on a visualization and annotation tool. Sampathkumar, U.; Prasath, V. B. S.; Meena, S.; and Palaniappan, K. In 2016 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2016, Washington, DC, USA, October 18-20, 2016, pages 1–7, 2016. IEEE Computer Society
Assisted ground truth generation using interactive segmentation on a visualization and annotation tool [link]Paper   doi   link   bibtex  
CNN-based image analysis for malaria diagnosis. Liang, Z.; Powell, A.; Ersoy, I.; Poostchi, M.; Silamut, K.; Palaniappan, K.; Guo, P.; Hossain, M. A.; Antani, S. K.; Maude, R. J.; Huang, J. X.; Jaeger, S.; and Thoma, G. R. In Tian, T.; Jiang, Q.; Liu, Y.; Burrage, K.; Song, J.; Wang, Y.; Hu, X.; Morishita, S.; Zhu, Q.; and Wang, G., editor(s), IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016, Shenzhen, China, December 15-18, 2016, pages 493–496, 2016. IEEE Computer Society
CNN-based image analysis for malaria diagnosis [link]Paper   doi   link   bibtex  
Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video. Poostchi, M.; Aliakbarpour, H.; Viguier, R.; Bunyak, F.; Palaniappan, K.; and Seetharaman, G. In 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2016, Las Vegas, NV, USA, June 26 - July 1, 2016, pages 1575–1583, 2016. IEEE Computer Society
Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video [link]Paper   doi   link   bibtex  
The Visual Object Tracking VOT2016 Challenge Results. Kristan, M.; Leonardis, A.; Matas, J.; Felsberg, M.; Pflugfelder, R. P.; Cehovin, L.; Vojír, T.; Häger, G.; Lukezic, A.; Fernández, G.; Gupta, A.; Petrosino, A.; Memarmoghadam, A.; García-Martín, Á.; Montero, A. S.; Vedaldi, A.; Robinson, A.; Ma, A. J.; Varfolomieiev, A.; Alatan, A. A.; Erdem, A.; Ghanem, B.; Liu, B.; Han, B.; Martínez, B.; Chang, C.; Xu, C.; Sun, C.; Kim, D.; Chen, D.; Du, D.; Mishra, D.; Yeung, D.; Gundogdu, E.; Erdem, E.; Khan, F. S.; Porikli, F.; Zhao, F.; Bunyak, F.; Battistone, F.; Zhu, G.; Roffo, G.; Subrahmanyam, G. R. K. S.; Bastos, G. S.; Seetharaman, G.; Medeiros, H.; Li, H.; Qi, H.; Bischof, H.; Possegger, H.; Lu, H.; Lee, H.; Nam, H.; Chang, H. J.; Drummond, I.; Valmadre, J.; Jeong, J.; Cho, J.; Lee, J.; Zhu, J.; Feng, J.; Gao, J.; Choi, J. Y.; Xiao, J.; Kim, J.; Jeong, J.; Henriques, J. F.; Lang, J.; Choi, J.; Martínez, J. M.; Xing, J.; Gao, J.; Palaniappan, K.; Lebeda, K.; Gao, K.; Mikolajczyk, K.; Qin, L.; Wang, L.; Wen, L.; Bertinetto, L.; Rapuru, M. K.; Poostchi, M.; Maresca, M. E.; Danelljan, M.; Mueller, M.; Zhang, M.; Arens, M.; Valstar, M. F.; Tang, M.; Baek, M.; Khan, M. H.; Wang, N.; Fan, N.; Al-Shakarji, N.; Miksik, O.; Akin, O.; Moallem, P.; Senna, P.; Torr, P. H. S.; Yuen, P. C.; Huang, Q.; Nieto, R. M.; Pelapur, R.; Bowden, R.; Laganière, R.; Stolkin, R.; Walsh, R.; Krah, S. B.; Li, S.; Zhang, S.; Yao, S.; Hadfield, S.; Melzi, S.; Lyu, S.; Li, S.; Becker, S.; Golodetz, S.; Kakanuru, S.; Choi, S.; Hu, T.; Mauthner, T.; Zhang, T.; Pridmore, T. P.; Santopietro, V.; Hu, W.; Li, W.; Hübner, W.; Lan, X.; Wang, X.; Li, X.; Li, Y.; Demiris, Y.; Wang, Y.; Qi, Y.; Yuan, Z.; Cai, Z.; Xu, Z.; He, Z.; and Chi, Z. In Hua, G.; and Jégou, H., editor(s), Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II, volume 9914, of Lecture Notes in Computer Science, pages 777–823, 2016.
The Visual Object Tracking VOT2016 Challenge Results [link]Paper   doi   link   bibtex  
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. Felsberg, M.; Kristan, M.; Matas, J.; Leonardis, A.; Pflugfelder, R. P.; Häger, G.; Berg, A.; Eldesokey, A.; Ahlberg, J.; Cehovin, L.; Vojír, T.; Lukezic, A.; Fernández, G.; Petrosino, A.; García-Martín, Á.; Montero, A. S.; Varfolomieiev, A.; Erdem, A.; Han, B.; Chang, C.; Du, D.; Erdem, E.; Khan, F. S.; Porikli, F.; Zhao, F.; Bunyak, F.; Battistone, F.; Zhu, G.; Seetharaman, G.; Li, H.; Qi, H.; Bischof, H.; Possegger, H.; Nam, H.; Valmadre, J.; Zhu, J.; Feng, J.; Lang, J.; Martínez, J. M.; Palaniappan, K.; Lebeda, K.; Gao, K.; Mikolajczyk, K.; Wen, L.; Bertinetto, L.; Poostchi, M.; Maresca, M. E.; Danelljan, M.; Arens, M.; Tang, M.; Baek, M.; Fan, N.; Al-Shakarji, N.; Miksik, O.; Akin, O.; Torr, P. H. S.; Huang, Q.; Nieto, R. M.; Pelapur, R.; Bowden, R.; Laganière, R.; Krah, S. B.; Li, S.; Yao, S.; Hadfield, S.; Lyu, S.; Becker, S.; Golodetz, S.; Hu, T.; Mauthner, T.; Santopietro, V.; Li, W.; Hübner, W.; Li, X.; Li, Y.; Xu, Z.; and He, Z. In Hua, G.; and Jégou, H., editor(s), Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II, volume 9914, of Lecture Notes in Computer Science, pages 824–849, 2016.
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results [link]Paper   doi   link   bibtex  
Random forests for dura mater microvasculature segmentation using epifluorescence images. Kassim, Y. M.; Prasath, V. B. S.; Pelapur, R.; Glinskii, O. V.; Maude, R. J.; Glinsky, V. V.; Huxley, V. H.; and Palaniappan, K. In 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, FL, USA, August 16-20, 2016, pages 2901–2904, 2016. IEEE
Random forests for dura mater microvasculature segmentation using epifluorescence images [link]Paper   doi   link   bibtex  
Multiquadric spline-based interactive segmentation of vascular networks. Meena, S.; Prasath, V. B. S.; Kassim, Y. M.; Maude, R. J.; Glinskii, O. V.; Glinsky, V. V.; Huxley, V. H.; and Palaniappan, K. In 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, FL, USA, August 16-20, 2016, pages 5913–5916, 2016. IEEE
Multiquadric spline-based interactive segmentation of vascular networks [link]Paper   doi   link   bibtex  
User driven sparse point-based image segmentation. Meena, S.; Palaniappan, K.; and Seetharaman, G. In 2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016, pages 844–848, 2016. IEEE
User driven sparse point-based image segmentation [link]Paper   doi   link   bibtex  
HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. Prasath, V. B. S.; Kassim, Y. M.; Oraibi, Z. A.; Guiriec, J.; Hafiane, A.; Seetharaman, G.; and Palaniappan, K. In 23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016, pages 90–95, 2016. IEEE
HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests [link]Paper   doi   link   bibtex  
Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering. Palaniappan, K.; Poostchi, M.; Aliakbarpour, H.; Viguier, R.; Fraser, J.; Bunyak, F.; Basharat, A.; Suddarth, S.; Blasch, E.; Rao, R. M.; and Seetharaman, G. In 23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016, pages 2830–2835, 2016. IEEE
Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering [link]Paper   doi   link   bibtex  
  2015 (12)
Robust Camera Pose Refinement and Rapid SfM for Multiview Aerial Imagery - Without RANSAC. Aliakbarpour, H.; Palaniappan, K.; and Seetharaman, G. IEEE Geosci. Remote. Sens. Lett., 12(11): 2203–2207. 2015.
Robust Camera Pose Refinement and Rapid SfM for Multiview Aerial Imagery - Without RANSAC [link]Paper   doi   link   bibtex  
Joint Adaptive Median Binary Patterns for texture classification. Hafiane, A.; Palaniappan, K.; and Seetharaman, G. Pattern Recognit., 48(8): 2609–2620. 2015.
Joint Adaptive Median Binary Patterns for texture classification [link]Paper   doi   link   bibtex  
Multiscale Tikhonov-Total Variation Image Restoration Using Spatially Varying Edge Coherence Exponent. Prasath, V. B. S.; Vorotnikov, D.; Pelapur, R.; Jose, S.; Seetharaman, G.; and Palaniappan, K. IEEE Trans. Image Process., 24(12): 5220–5235. 2015.
Multiscale Tikhonov-Total Variation Image Restoration Using Spatially Varying Edge Coherence Exponent [link]Paper   doi   link   bibtex  
A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images. Bunyak, F.; Hafiane, A.; Al-Milaji, Z.; Ersoy, I.; Haridas, A.; and Palaniappan, K. In Huan, J.; Miyano, S.; Shehu, A.; Hu, X. T.; Ma, B.; Rajasekaran, S.; Gombar, V. K.; Schapranow, M.; Yoo, I.; Zhou, J.; Chen, B.; Pai, V.; and Pierce, B. G., editor(s), 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, Washington, DC, USA, November 9-12, 2015, pages 450–453, 2015. IEEE Computer Society
A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images [link]Paper   doi   link   bibtex  
Interactive Segmentation Relabeling for Classification of Whole-Slide Histopathology Imagery. Haridas, A.; Bunyak, F.; and Palaniappan, K. In Jr., C. T.; Rodrigues, P. P.; Kane, B.; de Azevedo Marques, P. M.; and Traina, A. J. M., editor(s), 28th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2015, Sao Carlos, Brazil, June 22-25, 2015, pages 84–87, 2015. IEEE Computer Society
Interactive Segmentation Relabeling for Classification of Whole-Slide Histopathology Imagery [link]Paper   doi   link   bibtex  
Resilient mobile cognition: Algorithms, innovations, and architectures. Viguier, R.; Lin, C.; Swaminathan, K.; Vega, A.; Buyuktosunoglu, A.; Pankanti, S.; Bose, P.; Akbarpour, H.; Bunyak, F.; Palaniappan, K.; and Seetharaman, G. In 33rd IEEE International Conference on Computer Design, ICCD 2015, New York City, NY, USA, October 18-21, 2015, pages 728–731, 2015. IEEE Computer Society
Resilient mobile cognition: Algorithms, innovations, and architectures [link]Paper   doi   link   bibtex  
A Scalable Architecture for Operational FMV Exploitation. Thissell, W. R.; Czajkowski, R.; Schrenk, F.; Selway, T.; Ries, A. J.; Patel, S.; McDermott, P. L.; Moten, R.; Rudnicki, R.; Seetharaman, G.; Ersoy, I.; and Palaniappan, K. In 2015 IEEE International Conference on Computer Vision Workshop, ICCV Workshops 2015, Santiago, Chile, December 7-13, 2015, pages 1062–1070, 2015. IEEE Computer Society
A Scalable Architecture for Operational FMV Exploitation [link]Paper   doi   link   bibtex  
Fast Structure from Motion for Sequential and Wide Area Motion Imagery. Aliakbarpour, H.; Palaniappan, K.; and Seetharaman, G. In 2015 IEEE International Conference on Computer Vision Workshop, ICCV Workshops 2015, Santiago, Chile, December 7-13, 2015, pages 1086–1093, 2015. IEEE Computer Society
Fast Structure from Motion for Sequential and Wide Area Motion Imagery [link]Paper   doi   link   bibtex  
Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature. Prasath, V. B. S.; Pelapur, R.; Glinskii, O. V.; Glinsky, V. V.; Huxley, V. H.; and Palaniappan, K. In 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA, April 16-19, 2015, pages 540–543, 2015. IEEE
Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature [link]Paper   doi   link   bibtex  
Automatic Video Content Summarization Using Geospatial Mosaics of Aerial Imagery. Viguier, R.; Lin, C.; Aliakbarpour, H.; Bunyak, F.; Pankanti, S.; Seetharaman, G.; and Palaniappan, K. In 2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015, pages 249–253, 2015. IEEE Computer Society
Automatic Video Content Summarization Using Geospatial Mosaics of Aerial Imagery [link]Paper   doi   link   bibtex  
Interactive Image Segmentation Using Elastic Interpolation. Meena, S.; Palaniappan, K.; and Seetharaman, G. In 2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015, pages 307–310, 2015. IEEE Computer Society
Interactive Image Segmentation Using Elastic Interpolation [link]Paper   doi   link   bibtex  
Adaptive diffusion constrained total variation scheme with application to 'cartoon + texture + edge' image decomposition. Moreno, J. C.; Prasath, V. B. S.; Vorotnikov, D.; Proença, H.; and Palaniappan, K. CoRR, abs/1505.00866. 2015.
Adaptive diffusion constrained total variation scheme with application to 'cartoon + texture + edge' image decomposition [link]Paper   link   bibtex  
  2014 (7)
Fast and globally convex multiphase active contours for brain MRI segmentation. Moreno, J. C.; Prasath, V. B. S.; Proença, H.; and Palaniappan, K. Comput. Vis. Image Underst., 125: 237–250. 2014.
Fast and globally convex multiphase active contours for brain MRI segmentation [link]Paper   doi   link   bibtex  
Automatic Tuberculosis Screening Using Chest Radiographs. Jaeger, S.; Karargyris, A.; Candemir, S.; Folio, L. R.; Siegelman, J.; Callaghan, F. M.; Xue, Z.; Palaniappan, K.; Singh, R. K.; Antani, S. K.; Thoma, G. R.; Wang, Y. J.; Lu, P.; and McDonald, C. J. IEEE Trans. Medical Imaging, 33(2): 233–245. 2014.
Automatic Tuberculosis Screening Using Chest Radiographs [link]Paper   doi   link   bibtex  
Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration. Candemir, S.; Jaeger, S.; Palaniappan, K.; Musco, J. P.; Singh, R. K.; Xue, Z.; Karargyris, A.; Antani, S. K.; Thoma, G. R.; and McDonald, C. J. IEEE Trans. Medical Imaging, 33(2): 577–590. 2014.
Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration [link]Paper   doi   link   bibtex  
Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models. Wang, R.; Bunyak, F.; Seetharaman, G.; and Palaniappan, K. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2014, Columbus, OH, USA, June 23-28, 2014, pages 420–424, 2014. IEEE Computer Society
Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models [link]Paper   doi   link   bibtex  
Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation. Pelapur, R.; Prasath, V. B. S.; Bunyak, F.; Glinskii, O. V.; Glinsky, V. V.; Huxley, V. H.; and Palaniappan, K. In 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, IL, USA, August 26-30, 2014, pages 4735–4738, 2014. IEEE
Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation [link]Paper   doi   link   bibtex  
Elastic body spline based image segmentation. Meena, S.; Prasath, V. B. S.; Palaniappan, K.; and Seetharaman, G. In 2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, October 27-30, 2014, pages 4378–4382, 2014. IEEE
Elastic body spline based image segmentation [link]Paper   doi   link   bibtex  
Adaptive Median Binary Patterns for Texture Classification. Hafiane, A.; Palaniappan, K.; and Seetharaman, G. In 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014, pages 1138–1143, 2014. IEEE Computer Society
Adaptive Median Binary Patterns for Texture Classification [link]Paper   doi   link   bibtex  
  2013 (4)
Video-based activity analysis using the L1 tracker on VIRAT data. Blasch, E.; Wang, Z.; Ling, H.; Palaniappan, K.; Chen, G.; Shen, D.; Aved, A.; and Seetharaman, G. In IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2013, Washington, DC, USA, October 23-25, 2013, pages 1–8, 2013. IEEE Computer Society
Video-based activity analysis using the L1 tracker on VIRAT data [link]Paper   doi   link   bibtex  
Multi-class regularization parameter learning for graph cut image segmentation. Candemir, S.; Palaniappan, K.; and Akgul, Y. S. In 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, 7-11 April, 2013, San Francisco, CA, USA, Proceedings, pages 1473–1476, 2013. IEEE
Multi-class regularization parameter learning for graph cut image segmentation [link]Paper   doi   link   bibtex  
Color image denoising by chromatic edges based vector valued diffusion. Prasath, V. B. S.; Moreno, J. C.; and Palaniappan, K. CoRR, abs/1304.5587. 2013.
Color image denoising by chromatic edges based vector valued diffusion [link]Paper   link   bibtex  
Brain MRI Segmentation with Fast and Globally Convex Multiphase Active Contours. Moreno, J. C.; Prasath, V. B. S.; Proença, H.; and Palaniappan, K. CoRR, abs/1308.6056. 2013.
Brain MRI Segmentation with Fast and Globally Convex Multiphase Active Contours [link]Paper   link   bibtex  
  2012 (13)
Efficient GPU Implementation of the Integral Histogram. Poostchi, M.; Palaniappan, K.; Bunyak, F.; Becchi, M.; and Seetharaman, G. In Park, J.; and Kim, J., editor(s), Computer Vision - ACCV 2012 Workshops - ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012, Revised Selected Papers, Part I, volume 7728, of Lecture Notes in Computer Science, pages 266–278, 2012. Springer
Efficient GPU Implementation of the Integral Histogram [link]Paper   doi   link   bibtex  
Wide-area motion imagery (WAMI) exploitation tools for enhanced situation awareness. Blasch, E.; Seetharaman, G.; Palaniappan, K.; Ling, H.; and Chen, G. In 2012 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2012, Washington, DC, USA, October 9-11, 2012, pages 1–8, 2012. IEEE Computer Society
Wide-area motion imagery (WAMI) exploitation tools for enhanced situation awareness [link]Paper   doi   link   bibtex  
Robust Orientation and Appearance Adaptation for Wide-Area Large Format Video Object Tracking. Pelapur, R.; Palaniappan, K.; and Seetharaman, G. S. In Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012, Beijing, China, September 18-21, 2012, pages 337–342, 2012. IEEE Computer Society
Robust Orientation and Appearance Adaptation for Wide-Area Large Format Video Object Tracking [link]Paper   doi   link   bibtex  
Mucosal region detection and 3D reconstruction in wireless capsule endoscopy videos using active contours. Prasath, V. B. S.; Figueiredo, I. N.; Figueiredo, P. N.; and Palaniappan, K. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012, San Diego, CA, USA, August 28 - September 1, 2012, pages 4014–4017, 2012. IEEE
Mucosal region detection and 3D reconstruction in wireless capsule endoscopy videos using active contours [link]Paper   doi   link   bibtex  
Persistent target tracking using likelihood fusion in wide-area and full motion video sequences. Pelapur, R.; Candemir, S.; Bunyak, F.; Poostchi, M.; Seetharaman, G.; and Palaniappan, K. In 15th International Conference on Information Fusion, FUSION 2012, Singapore, July 9-12, 2012, pages 2420–2427, 2012. IEEE
Persistent target tracking using likelihood fusion in wide-area and full motion video sequences [link]Paper   link   bibtex  
Semi-automated tracking of muscle satellite cells in brightfield microscopy video. Chowdhury, A. S.; Paul, A.; Bunyak, F.; Cornelison, D. D. W.; and Palaniappan, K. In 19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, Orlando, FL, USA, September 30 - October 3, 2012, pages 2825–2828, 2012. IEEE
Semi-automated tracking of muscle satellite cells in brightfield microscopy video [link]Paper   doi   link   bibtex  
HEp-2 cell classification in IIF images using Shareboost. Ersoy, I.; Bunyak, F.; Peng, J.; and Palaniappan, K. In Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012, pages 3362–3365, 2012. IEEE Computer Society
HEp-2 cell classification in IIF images using Shareboost [link]Paper   link   bibtex  
KL based data fusion for target tracking. Peng, J.; Palaniappan, K.; Candemir, S.; and Seetharaman, G. In Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012, pages 3480–3483, 2012. IEEE Computer Society
KL based data fusion for target tracking [link]Paper   link   bibtex  
Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms. Poostchi, M.; Palaniappan, K.; Bunyak, F.; and Seetharaman, G. In Triggs, B.; Bala, K.; and Chandran, S., editor(s), The Eighth Indian Conference on Vision, Graphics and Image Processing, ICVGIP '12, Mumbai, India, December 16-19, 2012, pages 19, 2012. ACM
Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms [link]Paper   doi   link   bibtex  
Feature prominence-based weighting scheme for video tracking. Candemir, S.; Palaniappan, K.; Bunyak, F.; Rao, R. M.; and Seetharaman, G. In Triggs, B.; Bala, K.; and Chandran, S., editor(s), The Eighth Indian Conference on Vision, Graphics and Image Processing, ICVGIP '12, Mumbai, India, December 16-19, 2012, pages 25, 2012. ACM
Feature prominence-based weighting scheme for video tracking [link]Paper   doi   link   bibtex  
Multichannel texture image segmentation using local feature fitting based variational active contours. Prasath, V. B. S.; Palaniappan, K.; and Seetharaman, G. In Triggs, B.; Bala, K.; and Chandran, S., editor(s), The Eighth Indian Conference on Vision, Graphics and Image Processing, ICVGIP '12, Mumbai, India, December 16-19, 2012, pages 78, 2012. ACM
Multichannel texture image segmentation using local feature fitting based variational active contours [link]Paper   doi   link   bibtex  
Coupled edge profile active contours for red blood cell flow analysis. Ersoy, I.; Bunyak, F.; Higgins, J. M.; and Palaniappan, K. In 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, May 2-5, 2012, Barcelona, Spain, Proceedings, pages 748–751, 2012. IEEE
Coupled edge profile active contours for red blood cell flow analysis [link]Paper   doi   link   bibtex  
Multidimensional Dataflow Graph Modeling and Mapping for Efficient GPU Implementation. Wang, L.; Shen, C.; Seetharaman, G. S.; Palaniappan, K.; and Bhattacharyya, S. S. In 2012 IEEE Workshop on Signal Processing Systems, Quebec City, QC, Canada, October 17-19, 2012, pages 300–305, 2012. IEEE
Multidimensional Dataflow Graph Modeling and Mapping for Efficient GPU Implementation [link]Paper   doi   link   bibtex  
  2011 (5)
Parallel Implementation of the Integral Histogram. Bellens, P.; Palaniappan, K.; Badia, R. M.; Seetharaman, G.; and Labarta, J. In Blanc-Talon, J.; Kleihorst, R. P.; Philips, W.; Popescu, D. C.; and Scheunders, P., editor(s), Advances Concepts for Intelligent Vision Systems - 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011. Proceedings, volume 6915, of Lecture Notes in Computer Science, pages 586–598, 2011. Springer
Parallel Implementation of the Integral Histogram [link]Paper   doi   link   bibtex  
Parallel flux tensor analysis for efficient moving object detection. Palaniappan, K.; Ersoy, I.; Seetharaman, G.; Davis, S. R.; Kumar, P.; Rao, R. M.; and Linderman, R. W. In Proceedings of the 14th International Conference on Information Fusion, FUSION 2011, Chicago, Illinois, USA, July 5-8, 2011, pages 1–8, 2011. IEEE
Parallel flux tensor analysis for efficient moving object detection [link]Paper   link   bibtex  
Visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery. Haridas, A.; Pelapur, R.; Fraser, J.; Bunyak, F.; and Palaniappan, K. In Banissi, E.; Bertschi, S.; Burkhard, R. A.; Cvek, U.; Eppler, M. J.; Forsell, C.; Grinstein, G. G.; Johansson, J.; Kenderdine, S.; Marchese, F. T.; Maple, C.; Trutschl, M.; Sarfraz, M.; Stuart, L. J.; Ursyn, A.; and Wyeld, T. G., editor(s), 15th International Conference on Information Visualisation, IV 2011, London, United Kingdom, July 13-15, 2011, pages 288–293, 2011. IEEE Computer Society
Visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery [link]Paper   doi   link   bibtex  
ShareBoost: Boosting for Multi-view Learning with Performance Guarantees. Peng, J.; Barbu, C.; Seetharaman, G.; Fan, W.; Wu, X.; and Palaniappan, K. In Gunopulos, D.; Hofmann, T.; Malerba, D.; and Vazirgiannis, M., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II, volume 6912, of Lecture Notes in Computer Science, pages 597–612, 2011. Springer
ShareBoost: Boosting for Multi-view Learning with Performance Guarantees [link]Paper   doi   link   bibtex  
ACM SRC poster: a portable implementation of the integral histogram in starss. Bellens, P.; Palaniappan, K.; Badia, R. M.; Seetharaman, G.; and Labarta, J. In Lathrop, S. A.; Costa, J.; and Kramer, W., editor(s), Conference on High Performance Computing Networking, Storage and Analysis - Companion Volume, SC 2011, Seattle, WA, USA, November 12-18, 2011, pages 117–118, 2011. ACM
ACM SRC poster: a portable implementation of the integral histogram in starss [link]Paper   doi   link   bibtex  
  2010 (3)
Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video. Palaniappan, K.; Bunyak, F.; Kumar, P.; Ersoy, I.; Jäger, S.; Ganguli, K.; Haridas, A.; Fraser, J.; Rao, R. M.; and Seetharaman, G. In 13th Conference on Information Fusion, FUSION 2010, Edinburgh, UK, July 26-29, 2010, pages 1–8, 2010. IEEE
Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video [link]Paper   link   bibtex  
Dual Channel Colocalization for Cell Cycle Analysis Using 3D Confocal Microscopy. Jäger, S.; Palaniappan, K.; Casas-Delucchi, C. S.; and Cardoso, M. C. In 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010, pages 2580–2583, 2010. IEEE Computer Society
Dual Channel Colocalization for Cell Cycle Analysis Using 3D Confocal Microscopy [link]Paper   doi   link   bibtex  
Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features. Jäger, S.; Palaniappan, K.; Casas-Delucchi, C. S.; and Cardoso, M. C. In Chellappa, R.; Anandan, P.; Rajagopalan, A. N.; Narayanan, P. J.; and Torr, P. H. S., editor(s), Seventh Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP '10, Chennai, India, December 12-15, 2010, pages 412–418, 2010. ACM
Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features [link]Paper   doi   link   bibtex  
  2009 (9)
Tracking cells in Life Cell Imaging videos using topological alignments. Mosig, A.; Jäger, S.; Wang, C.; Nath, S. K.; Ersoy, I.; Palaniappan, K.; and Chen, S. Algorithms Mol. Biol., 4. 2009.
Tracking cells in Life Cell Imaging videos using topological alignments [link]Paper   doi   link   bibtex  
Fast Graph Partitioning Active Contours for Image Segmentation Using Histograms. Nath, S. K.; and Palaniappan, K. EURASIP J. Image Video Process., 2009. 2009.
Fast Graph Partitioning Active Contours for Image Segmentation Using Histograms [link]Paper   doi   link   bibtex  
Semantic Concept Mining Based on Hierarchical Event Detection for Soccer Video Indexing. Kolekar, M. H.; Palaniappan, K.; Sengupta, S.; and Seetharaman, G. S. J. Multim., 4(5): 298–312. 2009.
Semantic Concept Mining Based on Hierarchical Event Detection for Soccer Video Indexing [link]Paper   doi   link   bibtex  
Level Set-Based Fast Multi-phase Graph Partitioning Active Contours Using Constant Memory. Bunyak, F.; and Palaniappan, K. In Blanc-Talon, J.; Philips, W.; Popescu, D. C.; and Scheunders, P., editor(s), Advanced Concepts for Intelligent Vision Systems, 11th International Conference, ACIVS 2009, Bordeaux, France, September 28 - October 2, 2009. Proceedings, volume 5807, of Lecture Notes in Computer Science, pages 145–155, 2009. Springer
Level Set-Based Fast Multi-phase Graph Partitioning Active Contours Using Constant Memory [link]Paper   doi   link   bibtex  
Parallel Blob Extraction Using the Multi-core Cell Processor. Kumar, P.; Palaniappan, K.; Mittal, A.; and Seetharaman, G. In Blanc-Talon, J.; Philips, W.; Popescu, D. C.; and Scheunders, P., editor(s), Advanced Concepts for Intelligent Vision Systems, 11th International Conference, ACIVS 2009, Bordeaux, France, September 28 - October 2, 2009. Proceedings, volume 5807, of Lecture Notes in Computer Science, pages 320–332, 2009. Springer
Parallel Blob Extraction Using the Multi-core Cell Processor [link]Paper   doi   link   bibtex  
Efficient segmentation using feature-based graph partitioning active contours. Bunyak, F.; and Palaniappan, K. In IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27 - October 4, 2009, pages 873–880, 2009. IEEE Computer Society
Efficient segmentation using feature-based graph partitioning active contours [link]Paper   doi   link   bibtex  
Event detection and semantic identification using Bayesian belief network. Kolekar, M. H.; Palaniappan, K.; Sengupta, S.; and Seetharaman, G. In 12th IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2009, Kyoto, Japan, September 27 - October 4, 2009, pages 554–561, 2009. IEEE Computer Society
Event detection and semantic identification using Bayesian belief network [link]Paper   doi   link   bibtex  
Evaluation of Level Wet-Based Histology Image Segmentation Using Geometric Region Criteria. Palaniappan, K.; Bunyak, F.; and Hafiane, A. In Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28 - July 1, 2009, pages 1–4, 2009. IEEE
Evaluation of Level Wet-Based Histology Image Segmentation Using Geometric Region Criteria [link]Paper   doi   link   bibtex  
Segmentation and Classification of Cell Cycle Phases in Fluorescence Imaging. Ersoy, I.; Bunyak, F.; Chagin, V.; Cardoso, M. C.; and Palaniappan, K. In Yang, G.; Hawkes, D. J.; Rueckert, D.; Noble, J. A.; and Taylor, C. J., editor(s), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II, volume 5762, of Lecture Notes in Computer Science, pages 617–624, 2009. Springer
Segmentation and Classification of Cell Cycle Phases in Fluorescence Imaging [link]Paper   doi   link   bibtex  
  2008 (8)
A Robust Method for Edge-Preserving Image Smoothing. Dong, G.; and Palaniappan, K. In Blanc-Talon, J.; Bourennane, S.; Philips, W.; Popescu, D. C.; and Scheunders, P., editor(s), Advanced Concepts for Intelligent Vision Systems, 10th International Conference, ACIVS 2008, Juan-les-Pins, France, October 20-24, 2008. Proceedings, volume 5259, of Lecture Notes in Computer Science, pages 390–399, 2008. Springer
A Robust Method for Edge-Preserving Image Smoothing [link]Paper   doi   link   bibtex  
Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection. Hafiane, A.; Bunyak, F.; and Palaniappan, K. In Blanc-Talon, J.; Bourennane, S.; Philips, W.; Popescu, D. C.; and Scheunders, P., editor(s), Advanced Concepts for Intelligent Vision Systems, 10th International Conference, ACIVS 2008, Juan-les-Pins, France, October 20-24, 2008. Proceedings, volume 5259, of Lecture Notes in Computer Science, pages 903–914, 2008. Springer
Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection [link]Paper   doi   link   bibtex  
Rotationally Invariant Hashing of Median Binary Patterns for Texture Classification. Hafiane, A.; Seetharaman, G.; Palaniappan, K.; and Zavidovique, B. Y. In Campilho, A. C.; and Kamel, M. S., editor(s), Image Analysis and Recognition, 5th International Conference, ICIAR 2008, Póvoa de Varzim, Portugal, June 25-27, 2008. Proceedings, volume 5112, of Lecture Notes in Computer Science, pages 619–629, 2008. Springer
Rotationally Invariant Hashing of Median Binary Patterns for Texture Classification [link]Paper   doi   link   bibtex  
Cell segmentation using Hessian-based detection and contour evolution with directional derivatives. Ersoy, I.; Bunyak, F.; Mackey, M. A.; and Palaniappan, K. In Proceedings of the International Conference on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA, pages 1804–1807, 2008. IEEE
Cell segmentation using Hessian-based detection and contour evolution with directional derivatives [link]Paper   doi   link   bibtex  
Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation. Hafiane, A.; Bunyak, F.; and Palaniappan, K. In 19th International Conference on Pattern Recognition (ICPR 2008), December 8-11, 2008, Tampa, Florida, USA, pages 1–4, 2008. IEEE Computer Society
Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation [link]Paper   doi   link   bibtex  
Semantic Event Detection and Classification in Cricket Video Sequence. Kolekar, M. H.; Palaniappan, K.; and Sengupta, S. In Sixth Indian Conference on Computer Vision, Graphics & Image Processing, ICVGIP 2008, Bhubaneswar, India, 16-19 December 2008, pages 382–389, 2008. IEEE Computer Society
Semantic Event Detection and Classification in Cricket Video Sequence [link]Paper   doi   link   bibtex  
UAV-Video Registration Using Block-Based Features. Hafiane, A.; Palaniappan, K.; and Seetharaman, G. In IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2008, July 8-11, 2008, Boston, Massachusetts, USA, Proceedings, pages 1104–1107, 2008. IEEE
UAV-Video Registration Using Block-Based Features [link]Paper   doi   link   bibtex  
Cell Spreading Analysis with Directed Edge Profile-Guided Level Set Active Contours. Ersoy, I.; Bunyak, F.; Palaniappan, K.; Sun, M.; and Forgacs, G. In Metaxas, D. N.; Axel, L.; Fichtinger, G.; and Székely, G., editor(s), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I, volume 5241, of Lecture Notes in Computer Science, pages 376–383, 2008. Springer
Cell Spreading Analysis with Directed Edge Profile-Guided Level Set Active Contours [link]Paper   doi   link   bibtex  
  2007 (5)
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking. Bunyak, F.; Palaniappan, K.; Nath, S. K.; and Seetharaman, G. J. Multim., 2(4): 20–33. 2007.
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking [link]Paper   doi   link   bibtex  
GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries. Shyu, C.; Klaric, M. N.; Scott, G. J.; Barb, A. S.; Davis, C. H.; and Palaniappan, K. IEEE Trans. Geosci. Remote. Sens., 45(4): 839–852. 2007.
GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries [link]Paper   doi   link   bibtex  
Moving Object Segmentation Using the Flux Tensor for Biological Video Microscopy. Palaniappan, K.; Ersoy, I.; and Nath, S. K. In Ip, H. H.; Au, O. C.; Leung, H.; Sun, M.; Ma, W.; and Hu, S., editor(s), Advances in Multimedia Information Processing - PCM 2007, 8th Pacific Rim Conference on Multimedia, Hong Kong, China, December 11-14, 2007, Proceedings, volume 4810, of Lecture Notes in Computer Science, pages 483–493, 2007. Springer
Moving Object Segmentation Using the Flux Tensor for Biological Video Microscopy [link]Paper   doi   link   bibtex  
Accurate Spatial Neighborhood Relationships for Arbitrarily-Shaped Objects Using Hamilton-Jacobi GVD. Nath, S. K.; Palaniappan, K.; and Bunyak, F. In Ersbøll, B. K.; and Pedersen, K. S., editor(s), Image Analysis, 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007, Proceedings, volume 4522, of Lecture Notes in Computer Science, pages 421–431, 2007. Springer
Accurate Spatial Neighborhood Relationships for Arbitrarily-Shaped Objects Using Hamilton-Jacobi GVD [link]Paper   doi   link   bibtex  
Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking. Bunyak, F.; Palaniappan, K.; Nath, S. K.; and Seetharaman, G. In 8th IEEE Workshop on Applications of Computer Vision (WACV 2007), 20-21 February 2007, Austin, Texas, USA, pages 35, 2007. IEEE Computer Society
Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking [link]Paper   doi   link   bibtex  
  2006 (5)
Robust Tracking of Migrating Cells Using Four-Color Level Set Segmentation. Nath, S. K.; Bunyak, F.; and Palaniappan, K. In Blanc-Talon, J.; Philips, W.; Popescu, D. C.; and Scheunders, P., editor(s), Advanced Concepts for Intelligent Vision Systems, 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006, Proceedings, volume 4179, of Lecture Notes in Computer Science, pages 920–932, 2006. Springer
Robust Tracking of Migrating Cells Using Four-Color Level Set Segmentation [link]Paper   doi   link   bibtex  
Motion Flow Estimation from Image Sequences with Applications to Biological Growth and Motility. Dong, G.; Baskin, T. I.; and Palaniappan, K. In Proceedings of the International Conference on Image Processing, ICIP 2006, October 8-11, Atlanta, Georgia, USA, pages 1245–1248, 2006. IEEE
Motion Flow Estimation from Image Sequences with Applications to Biological Growth and Motility [link]Paper   doi   link   bibtex  
A Framework for Geospatial Satellite Imagery Retrieval Systems. Klaric, M.; Scott, G. J.; Shyu, C.; Davis, C. H.; and Palaniappan, K. In IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2006, July 31 - August 4, 2006, Denver, Colorado, USA, Proceedings, pages 2457–2460, 2006. IEEE
A Framework for Geospatial Satellite Imagery Retrieval Systems [link]Paper   doi   link   bibtex  
Quantitative cell motility for in vitro wound healing using level set-based active contour tracking. Bunyak, F.; Palaniappan, K.; Nath, S. K.; Baskin, T. I.; and Dong, G. In Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, USA, 6-9 April 2006, pages 1040–1043, 2006. IEEE
Quantitative cell motility for in vitro wound healing using level set-based active contour tracking [link]Paper   doi   link   bibtex  
Cell Segmentation Using Coupled Level Sets and Graph-Vertex Coloring. Nath, S. K.; Palaniappan, K.; and Bunyak, F. In Larsen, R.; Nielsen, M.; and Sporring, J., editor(s), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I, volume 4190, of Lecture Notes in Computer Science, pages 101–108, 2006. Springer
Cell Segmentation Using Coupled Level Sets and Graph-Vertex Coloring [link]Paper   doi   link   bibtex  
  2005 (2)
New Algorithms of Neural Fuzzy Relation Systems with Min-implication Composition. Luo, Y.; Palaniappan, K.; and Li, Y. In Wang, L.; Chen, K.; and Ong, Y., editor(s), Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III, volume 3612, of Lecture Notes in Computer Science, pages 1132–1141, 2005. Springer
New Algorithms of Neural Fuzzy Relation Systems with Min-implication Composition [link]Paper   doi   link   bibtex  
Adaptive Robust Structure Tensors for Orientation Estimation and Image Segmentation. Nath, S. K.; and Palaniappan, K. In Bebis, G.; Boyle, R. D.; Koracin, D.; and Parvin, B., editor(s), Advances in Visual Computing, First International Symposium, ISVC 2005, Lake Tahoe, NV, USA, December 5-7, 2005, Proceedings, volume 3804, of Lecture Notes in Computer Science, pages 445–453, 2005. Springer
Adaptive Robust Structure Tensors for Orientation Estimation and Image Segmentation [link]Paper   doi   link   bibtex  
  2004 (1)
Non-rigid motion estimation using the robust tensor method. Palaniappan, K.; Jiang, H. S.; and Baskin, T. I. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2004, Washington, DC, USA, June 27 - July 2, 2004, pages 25, 2004. IEEE Computer Society
Non-rigid motion estimation using the robust tensor method [link]Paper   doi   link   bibtex  
  2003 (2)
Extensor-based image interpolation. Palaniappan, K.; Uhlmann, J.; and Li, D. In Proceedings of the 2003 International Conference on Image Processing, ICIP 2003, Barcelona, Catalonia, Spain, September 14-18, 2003, pages 945–948, 2003. IEEE
Extensor-based image interpolation [link]Paper   doi   link   bibtex  
Performance of dynamically scheduling VLIW instructions. Jee, S.; and Palaniappan, K. In Proceedings of the 2003 International Symposium on System-on-Chip, Tampere, Finland, November 19-21, 2003, pages 7–10, 2003. IEEE
Performance of dynamically scheduling VLIW instructions [link]Paper   doi   link   bibtex  
  2002 (4)
Dynamically Scheduling VLIW Instructions with Dependency Information. Jee, S.; and Palaniappan, K. In 6th Annual Workshop on Interaction between Compilers and Computer Architecture (INTERACT-6 2002), 3 February 2002, Boston, MA, USA, pages 15–23, 2002. IEEE Computer Society
Dynamically Scheduling VLIW Instructions with Dependency Information [link]Paper   doi   link   bibtex  
Compiler Processor Tradeoffs for DISVLIW Architecture. Jee, S.; and Palaniappan, K. In International Symposium on Parallel Architectures, Algorithms and Networks, ISPAN 2002, May 22-24, 2002, Makati City, Metro Manila, Philippines, pages 199–204, 2002. IEEE Computer Society
Compiler Processor Tradeoffs for DISVLIW Architecture [link]Paper   doi   link   bibtex  
Benchmarking Java against C/C++ for interactive scientific visualization. Sangappa, S.; Palaniappan, K.; and Tollerton, R. In Moreira, J. E.; Fox, G. C.; and Getov, V., editor(s), Proceedings of the 2002 Joint ACM-ISCOPE Conference on Java Grande 2002, Seattle, Washington, USA, November 3-5, 2002, pages 236, 2002. ACM
Benchmarking Java against C/C++ for interactive scientific visualization [link]Paper   doi   link   bibtex  
Performance evaluation for a compressed-VLIW processor. Jee, S.; and Palaniappan, K. In Lamont, G. B.; Haddad, H.; Papadopoulos, G. A.; and Panda, B., editor(s), Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), March 10-14, 2002, Madrid, Spain, pages 913–917, 2002. ACM
Performance evaluation for a compressed-VLIW processor [link]Paper   doi   link   bibtex  
  2001 (1)
Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences. Zhou, L.; Kambhamettu, C.; Goldgof, D. B.; Palaniappan, K.; and Hasler, F. IEEE Trans. Pattern Anal. Mach. Intell., 23(11): 1330–1336. 2001.
Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences [link]Paper   doi   link   bibtex  
  2000 (1)
A Piecewise Affine Model for Image Registration in Nonrigid Motion Analysis. Seetharaman, G.; Gasperas, G.; and Palaniappan, K. In Proceedings of the 2000 International Conference on Image Processing, ICIP 2000, Vancouver, BC, Canada, September 10-13, 2000, pages 561–564, 2000. IEEE
A Piecewise Affine Model for Image Registration in Nonrigid Motion Analysis [link]Paper   doi   link   bibtex  
  1999 (1)
Significance-linked connected component analysis for very low bit-rate wavelet video coding. Vass, J.; Chai, B.; Palaniappan, K.; and Zhuang, X. IEEE Trans. Circuits Syst. Video Technol., 9(4): 630–647. 1999.
Significance-linked connected component analysis for very low bit-rate wavelet video coding [link]Paper   doi   link   bibtex  
  1998 (2)
Automatic Spatio-Temporal Video Sequence Segmentation. Vass, J.; Palaniappan, K.; and Zhuang, X. In Proceedings of the 1998 IEEE International Conference on Image Processing, ICIP-98, Chicago, Illinois, USA, October 4-7, 1998, pages 958–962, 1998. IEEE Computer Society
Automatic Spatio-Temporal Video Sequence Segmentation [link]Paper   doi   link   bibtex  
Interactive Image Retrieval over the Internet. Vass, J.; Yao, J.; Joshi, A.; Palaniappan, K.; and Zhuang, X. In The Seventeenth Symposium on Reliable Distributed Systems, SRDS 1998, West Lafayette, Indiana, USA, October 20-22, 1998, Proceedings, pages 461–466, 1998. IEEE Computer Society
Interactive Image Retrieval over the Internet [link]Paper   doi   link   bibtex  
  1996 (2)
Gaussian mixture density modeling, decomposition, and applications. Zhuang, X.; Huang, Y.; Palaniappan, K.; and Zhao, Y. IEEE Trans. Image Process., 5(9): 1293–1302. 1996.
Gaussian mixture density modeling, decomposition, and applications [link]Paper   doi   link   bibtex  
Implementation of an Automatic Semi-Fluid Motion Analysis Algorithm on a Massively Parallel Computer. Palaniappan, K.; Faisal, M.; Kambhamettu, C.; and Hasler, A. F. In Proceedings of IPPS '96, The 10th International Parallel Processing Symposium, April 15-19, 1996, Honolulu, Hawaii, USA, pages 864–877, 1996. IEEE Computer Society
Implementation of an Automatic Semi-Fluid Motion Analysis Algorithm on a Massively Parallel Computer [link]Paper   doi   link   bibtex  
  1995 (2)
Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm. Huang, Y.; Palaniappan, K.; Zhuang, X.; and Cavanaugh, J. E. IEEE Trans. Pattern Anal. Mach. Intell., 17(12): 1177–1190. 1995.
Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm [link]Paper   doi   link   bibtex  
Structure and Semi-Fluid Motion Analysis of Stereoscopic Satellite Images for Cloud Tracking. Palaniappan, K.; Kambhamettu, C.; Hasler, F.; and Goldgof, D. B. In Procedings of the Fifth International Conference on Computer Vision (ICCV 95), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, June 20-23, 1995, pages 659–665, 1995. IEEE Computer Society
Structure and Semi-Fluid Motion Analysis of Stereoscopic Satellite Images for Cloud Tracking [link]Paper   doi   link   bibtex  
  1991 (1)
Multiresolution, adaptive methods and classification for image analysis of DNA autoradiographs. Palaniappan, K. Ph.D. Thesis, University of Illinois Urbana-Champaign, USA, 1991.
Multiresolution, adaptive methods and classification for image analysis of DNA autoradiographs [link]Paper   link   bibtex