Rameswar Panda

169 papers A* 51A 5B 5Misc 2Journal 92Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PRISM: Demystifying Retention and Interaction in Mid-Training. CoRR Bharat Runwal, Ashish Sunil Agrawal, Anurag Roy, Rameswar Panda
2025	A*	`conf`	API Pack: A Massive Multi-Programming Language Dataset for API Call Generation. ICLR Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
2025	A*	`conf`	Calibrating Expressions of Certainty. ICLR Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2025	J	`jnl`	Distilling to Hybrid Attention Models via KL-Guided Layer Selection. CoRR Yanhong Li, Songlin Yang, Shawn Tan, Mayank Mishra, Rameswar Panda, Jiawei Zhou, Yoon Kim
2025	J	`jnl`	Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning. CoRR Xinyi Wang, Shawn Tan, Mingyu Jin, William Yang Wang, Rameswar Panda, Yikang Shen
2025	J	`jnl`	FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference. CoRR Aniruddha Nrusimha, William Brandon, Mayank Mishra, Yikang Shen, Rameswar Panda, Jonathan Ragan-Kelley, Yoon Kim
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	J	`jnl`	PaTH Attention: Position Encoding via Accumulating Householder Transformations. CoRR Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim
2025	A*	`conf`	Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study. ICLR Shawn Tan, Songlin Yang, Aaron C. Courville, Rameswar Panda, Yikang Shen
2025	A*	`conf`	Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. ICLR Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogério Feris, Alan Ritter
2025	J	`jnl`	TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments. CoRR Zhangchen Xu, Adriana Meza Soria, Shawn Tan, Anurag Roy, Ashish Sunil Agrawal, Radha Poovendran, Rameswar Panda
2024	J	`jnl`	API Pack: A Massive Multilingual Dataset for API Call Generation. CoRR Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
2024	—	`conf`	Breakthrough Low-Latency, High-Energy-Efficiency LLM Inference Performance Using NorthPole. HPEC Rathinakumar Appuswamy, Michael V. DeBole, Brian Taba, Steven K. Esser, Andrew S. Cassidy, Arnon Amir, Alexander Andreopoulos, Deepika Bablani, Pallab Datta, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon, Jeffrey L. McKinstry, Tapan K. Nayak, Daniel F. Smith, Rafael Sousa, Ignacio Terrizzano, Filipp Akopyan, Peter J. Carlson, Rajamohan Gandhasri, Guillaume Garreau, Nelson M. Gonzalez, Megumi Ito, Jennifer L. Klamo, Yutaka Y. Nakamura, Carlos Ortega Otero, William P. Risk, Jun Sawada, Kai Schleupen, Jay Sivagnaname, Matthew Stallone, Takanori Ueda, Myron D. Flickner, John V. Arthur, Rameswar Panda, David D. Cox, Dharmendra S. Modha
2024	J	`jnl`	Calibrating Expressions of Certainty. CoRR Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2024	A*	`conf`	Data Engineering for Scaling Language Models to 128K Context. ICML Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng
2024	J	`jnl`	Data Engineering for Scaling Language Models to 128K Context. CoRR Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng
2024	J	`jnl`	Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda
2024	J	`jnl`	Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
2024	A*	`conf`	Gated Linear Attention Transformers with Hardware-Efficient Training. ICML Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim
2024	J	`jnl`	Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, Syed Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
2024	—	`conf`	Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
2024	J	`jnl`	Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
2024	A	`conf`	Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko
2024	—	`conf`	LangNav: Language as a Perceptual Representation for Navigation. NAACL-HLT (Findings) Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
2024	J	`jnl`	Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization. CoRR Aniruddha Nrusimha, Mayank Mishra, Naigang Wang, Dan Alistarh, Rameswar Panda, Yoon Kim
2024	J	`jnl`	Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler. CoRR Yikang Shen, Matthew Stallone, Mayank Mishra, Gaoyuan Zhang, Shawn Tan, Aditya Prasad, Adriana Meza Soria, David D. Cox, Rameswar Panda
2024	A*	`conf`	Reducing Transformer Key-Value Cache Size with Cross-Layer Attention. NeurIPS William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
2024	J	`jnl`	Reducing Transformer Key-Value Cache Size with Cross-Layer Attention. CoRR William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
2024	—	`conf`	SITAR: Semi-supervised Image Transformer for Action Recognition. ICPR (10) Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das
2024	J	`jnl`	SITAR: Semi-supervised Image Transformer for Action Recognition. CoRR Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das
2024	J	`jnl`	Scaling Granite Code Models to 128K Context. CoRR Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
2024	J	`jnl`	Scattered Mixture-of-Experts Implementation. CoRR Shawn Tan, Yikang Shen, Rameswar Panda, Aaron C. Courville
2024	J	`jnl`	Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. CoRR Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter
2024	J	`jnl`	Stick-breaking Attention. CoRR Shawn Tan, Yikang Shen, Songlin Yang, Aaron C. Courville, Rameswar Panda
2024	J	`jnl`	The infrastructure powering IBM's Gen AI model development. CoRR Talia Gershon, Seetharami Seelam, Brian Belgodere, Milton Bonilla, Lan Hoang, Danny Barnett, I-Hsin Chung, Apoorve Mohan, Ming-Hung Chen, Lixiang Luo, Robert Walkup, Constantinos Evangelinos, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang
2024	J	`jnl`	XPL: A Cross-Model framework for Semi-Supervised Prompt Learning in Vision-Language Models. Trans. Mach. Learn. Res. Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das
2023	A*	`conf`	AnyDA: Anytime Domain Adaptation. ICLR Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das
2023	A*	`conf`	CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2023	A*	`conf`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2023	A*	`conf`	Data Efficient Neural Scaling Law via Model Reusing. ICML Peihao Wang, Rameswar Panda, Zhangyang Wang
2023	A*	`conf`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	A*	`conf`	Energy Transformer. NeurIPS Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
2023	J	`jnl`	Energy Transformer. CoRR Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
2023	J	`jnl`	Gated Linear Attention Transformers with Hardware-Efficient Training. CoRR Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim
2023	A*	`conf`	Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023	J	`jnl`	Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023	J	`jnl`	LangNav: Language as a Perceptual Representation for Navigation. CoRR Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
2023	A*	`conf`	Learning Human Action Recognition Representations Without Real Humans. NeurIPS Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	Learning Human Action Recognition Representations Without Real Humans. CoRR Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	A*	`conf`	Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
2023	J	`jnl`	Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
2023	A*	`conf`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	A*	`conf`	Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
2023	J	`jnl`	Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
2023	J	`jnl`	Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language Models. CoRR Aashka Trivedi, Takuma Udagawa, Michele Merler, Rameswar Panda, Yousef El-Kurdi, Bishwaranjan Bhattacharjee
2023	A	`conf`	Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. WACV Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2023	A	`conf`	Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. WACV Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam
2023	—	`conf`	Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
2023	A*	`conf`	Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
2022	Misc	`conf`	A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
2022	J	`jnl`	A Maximal Correlation Framework for Fair Machine Learning. Entropy Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris
2022	J	`jnl`	CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2022	A*	`conf`	Can an Image Classifier Suffice For Action Recognition? ICLR Quanfu Fan, Chun-Fu Chen, Rameswar Panda
2022	J	`jnl`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2022	J	`jnl`	FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky
2022	A*	`conf`	FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky
2022	A*	`conf`	How Transferable are Video Representations Based on Synthetic Data? NeurIPS Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
2022	A*	`conf`	RegionViT: Regional-to-Local Attention for Vision Transformers. ICLR Chun-Fu Chen, Rameswar Panda, Quanfu Fan
2022	A*	`conf`	Selective Regression under Fairness Criteria. ICML Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
2022	J	`jnl`	Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. CoRR Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam
2022	J	`jnl`	Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
2022	A*	`conf`	Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2022	J	`jnl`	Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2022	A*	`conf`	VALHALLA: Visual Hallucination for Machine Translation. CVPR Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
2022	J	`jnl`	VALHALLA: Visual Hallucination for Machine Translation. CoRR Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
2021	A*	`conf`	A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
2021	J	`jnl`	A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
2021	A	`conf`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2021	A*	`conf`	AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
2021	A*	`conf`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	An Image Classifier Can Suffice For Video Understanding. CoRR Quanfu Fan, Chun-Fu Chen, Rameswar Panda
2021	A	`conf`	Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	J	`jnl`	Cascaded Multilingual Audio-Visual Learning from Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	A*	`conf`	Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. NeurIPS Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
2021	J	`jnl`	Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. CoRR Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
2021	A*	`conf`	CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. ICCV Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda
2021	J	`jnl`	CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. CoRR Chun-Fu Chen, Quanfu Fan, Rameswar Panda
2021	A*	`conf`	Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	A*	`conf`	Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
2021	J	`jnl`	Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
2021	A*	`conf`	Dynamic Network Quantization for Efficient Video Inference. ICCV Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Dynamic Network Quantization for Efficient Video Inference. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. Xueping Wang, Rameswar Panda, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury
2021	A*	`conf`	Fair Selective Classification Via Sufficiency. ICML Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell
2021	J	`jnl`	IA-RED CoRR Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva
2021	A*	`conf`	IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva
2021	A*	`conf`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
2021	J	`jnl`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
2021	A*	`conf`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee
2021	—	`book`	Person Re-identification with Limited Supervision Rameswar Panda, Amit K. Roy-Chowdhury
2021	J	`jnl`	RegionViT: Regional-to-Local Attention for Vision Transformers. CoRR Chun-Fu Chen, Rameswar Panda, Quanfu Fan
2021	J	`jnl`	Selective Regression Under Fairness Criteria. CoRR Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
2021	A*	`conf`	Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2021	J	`jnl`	Semi-Supervised Action Recognition with Temporal Contrastive Learning. CoRR Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2021	J	`jnl`	Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2021	J	`jnl`	VA-RED CoRR Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
2021	A*	`conf`	VA-RED2: Video Adaptive Redundancy Reduction. ICLR Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
2020	J	`jnl`	A Maximal Correlation Approach to Imposing Fairness in Machine Learning. CoRR Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
2020	—	`conf`	AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
2020	J	`jnl`	AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
2020	J	`jnl`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2020	A*	`conf`	AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. NeurIPS Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko
2020	A*	`conf`	Adversarial Knowledge Transfer from Unlabeled Data. ACM Multimedia Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury
2020	J	`jnl`	Adversarial Knowledge Transfer from Unlabeled Data. CoRR Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury
2020	A*	`conf`	Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning. CVPR Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury
2020	J	`jnl`	Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning. CoRR Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury
2020	J	`jnl`	Construction of Diverse Image Datasets From Web Collections With Limited Labeling. IEEE Trans. Circuits Syst. Video Technol. Niluthpol Chowdhury Mithun, Rameswar Panda, Amit K. Roy-Chowdhury
2020	J	`jnl`	Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2020	—	`conf`	Fairness of Classifiers Across Skin Tones in Dermatology. MICCAI (6) Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney
2020	J	`jnl`	Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2020	J	`jnl`	Measurement-driven Security Analysis of Imperceptible Impersonation Attacks. CoRR Shasha Li, Karim Khalil, Rameswar Panda, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami
2020	—	`conf`	Mitigating Dataset Imbalance via Joint Generation and Classification. ECCV Workshops (6) Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das
2020	J	`jnl`	Mitigating Dataset Imbalance via Joint Generation and Classification. CoRR Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das
2020	J	`jnl`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2020	A*	`conf`	Non-Adversarial Video Synthesis with Learned Priors. CVPR Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury
2020	J	`jnl`	Non-Adversarial Video Synthesis with Learned Priors. CoRR Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury
2020	—	`conf`	Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris
2020	J	`jnl`	Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. CoRR Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2019	J	`jnl`	AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. CoRR Ximeng Sun, Rameswar Panda, Rogério Schmidt Feris
2019	J	`jnl`	Adaptation of person re-identification models for on-boarding new camera(s). Pattern Recognit. Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury
2019	J	`jnl`	Consistent Cross-view Matching for Unsupervised Person Re-identification. CoRR Xueping Wang, Rameswar Panda, Min Liu, Amit K. Roy-Chowdhury
2019	J	`jnl`	Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets. CoRR Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney
2018	—	`conf`	Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. ECCV (2) Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury
2018	J	`jnl`	Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. CoRR Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury
2018	A*	`conf`	FFNet: Video Fast-Forwarding via Reinforcement Learning. CVPR Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury
2018	J	`jnl`	FFNet: Video Fast-Forwarding via Reinforcement Learning. CoRR Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury
2018	J	`jnl`	Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection. IEEE Trans. Cybern. Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury
2018	—	`—`	Visual Learning with Weak Supervision: Applications in Video Summarization and Person Re-Identification. Rameswar Panda
2018	A*	`conf`	Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval. ACM Multimedia Niluthpol Chowdhury Mithun, Rameswar Panda, Evangelos E. Papalexakis, Amit K. Roy-Chowdhury
2018	J	`jnl`	Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval. CoRR Niluthpol Chowdhury Mithun, Rameswar Panda, Evangelos E. Papalexakis, Amit K. Roy-Chowdhury
2017	A*	`conf`	Collaborative Summarization of Topic-Related Videos. CVPR Rameswar Panda, Amit K. Roy-Chowdhury
2017	J	`jnl`	Collaborative Summarization of Topic-Related Videos. CoRR Rameswar Panda, Amit K. Roy-Chowdhury
2017	J	`jnl`	Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection. Comput. Vis. Image Underst. Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
2017	J	`jnl`	Diversity-Aware Multi-Video Summarization. IEEE Trans. Image Process. Rameswar Panda, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury
2017	J	`jnl`	Diversity-aware Multi-Video Summarization. CoRR Rameswar Panda, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury
2017	J	`jnl`	Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization. CoRR Rameswar Panda, Amit K. Roy-Chowdhury
2017	J	`jnl`	Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization. IEEE Trans. Multim. Rameswar Panda, Amit K. Roy-Chowdhury
2017	Misc	`conf`	Sparse modeling for topic-oriented video summarization. ICASSP Rameswar Panda, Amit K. Roy-Chowdhury
2017	A*	`conf`	Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks. CVPR Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury
2017	J	`jnl`	Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks. CoRR Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury
2017	A*	`conf`	Weakly Supervised Summarization of Web Videos. ICCV Rameswar Panda, Abir Das, Ziyan Wu, Jan Ernst, Amit K. Roy-Chowdhury
2016	J	`jnl`	Continuous Adaptation of Multi-Camera Person Identification Models through Sparse Non-redundant Representative Selection. CoRR Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
2016	B	`conf`	Embedded sparse coding for summarizing multi-view videos. ICIP Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
2016	A*	`conf`	Generating Diverse Image Datasets with Limited Labeling. ACM Multimedia Niluthpol Chowdhury Mithun, Rameswar Panda, Amit K. Roy-Chowdhury
2016	J	`jnl`	Video Summarization in a Multi-View Camera Network. CoRR Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
2016	B	`conf`	Video summarization in a multi-view camera network. ICPR Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
2015	B	`conf`	Active image pair selection for continuous person re-identification. ICIP Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
2014	B	`conf`	Scalable Video Summarization Using Skeleton Graph and Random Walk. ICPR Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury
2013	—	`conf`	A frequency domain approach to silhouette based gait recognition. NCVPRIPG Soumyadip Sengupta, Udit Halder, Rameswar Panda, Ananda S. Chowdhury
2013	—	`conf`	Video Key Frame Extraction through Canonical Correlation Analysis and Graph Modularity. PReMI Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury
2013	J	`jnl`	Video key frame extraction through dynamic Delaunay clustering with a structural constraint. J. Vis. Commun. Image Represent. Sanjay K. Kuanar, Rameswar Panda, Ananda S. Chowdhury
2012	B	`conf`	Video storyboard design using Delaunay graphs. ICPR Ananda S. Chowdhury, Sanjay K. Kuanar, Rameswar Panda, Moloy N. Das