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2020 – today
- 2025
[c75]Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda:
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation. ICLR 2025- [c74]Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogério Feris, Alan Ritter:
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. ICLR 2025 - [c73]Shawn Tan, Songlin Yang, Aaron C. Courville, Rameswar Panda, Yikang Shen:
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study. ICLR 2025 - [c72]Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland:
Calibrating Expressions of Certainty. ICLR 2025 - [i76]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:
Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR abs/2502.09927 (2025) - [i75]Xinyi Wang, Shawn Tan, Mingyu Jin, William Yang Wang, Rameswar Panda, Yikang Shen:
Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning. CoRR abs/2504.03635 (2025) - 2024
- [j10]Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das:
XPL: A Cross-Model framework for Semi-Supervised Prompt Learning in Vision-Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c71]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, 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:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) 2024: 1131-1139 - [c70]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:
Breakthrough Low-Latency, High-Energy-Efficiency LLM Inference Performance Using NorthPole. HPEC 2024: 1-8 - [c69]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. ICML 2024 - [c68]Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim:
Gated Linear Attention Transformers with Hardware-Efficient Training. ICML 2024 - [c67]Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das:
SITAR: Semi-supervised Image Transformer for Action Recognition. ICPR (10) 2024: 114-130 - [c66]Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim:
LangNav: Language as a Perceptual Representation for Navigation. NAACL-HLT (Findings) 2024: 950-974 - [c65]William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley:
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention. NeurIPS 2024 - [c64]Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko:
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV 2024: 946-956 - [i74]Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda:
Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR abs/2402.02318 (2024) - [i73]Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda:
API Pack: A Massive Multilingual Dataset for API Call Generation. CoRR abs/2402.09615 (2024) - [i72]Yao Fu, Rameswar Panda, Xinyao Niu
, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. CoRR abs/2402.10171 (2024) - [i71]Shawn Tan, Yikang Shen, Rameswar Panda, Aaron C. Courville:
Scattered Mixture-of-Experts Implementation. CoRR abs/2403.08245 (2024) - [i70]Aniruddha Nrusimha, Mayank Mishra, Naigang Wang, Dan Alistarh, Rameswar Panda, Yoon Kim:
Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization. CoRR abs/2404.03605 (2024) - [i69]Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda:
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR abs/2404.05567 (2024) - [i68]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, S. 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:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - [i67]William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley:
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention. CoRR abs/2405.12981 (2024) - [i66]Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter:
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. CoRR abs/2406.12034 (2024) - [i65]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, 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:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - [i64]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:
The infrastructure powering IBM's Gen AI model development. CoRR abs/2407.05467 (2024) - [i63]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:
Scaling Granite Code Models to 128K Context. CoRR abs/2407.13739 (2024) - [i62]Yikang Shen, Matthew Stallone, Mayank Mishra, Gaoyuan Zhang, Shawn Tan, Aditya Prasad, Adriana Meza Soria, David D. Cox, Rameswar Panda:
Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler. CoRR abs/2408.13359 (2024) - [i61]Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das:
SITAR: Semi-supervised Image Transformer for Action Recognition. CoRR abs/2409.02910 (2024) - [i60]Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland:
Calibrating Expressions of Certainty. CoRR abs/2410.04315 (2024) - [i59]Shawn Tan, Yikang Shen, Songlin Yang, Aaron C. Courville, Rameswar Panda:
Stick-breaking Attention. CoRR abs/2410.17980 (2024) - 2023
- [c63]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) 2023: 8080-8098 - [c62]Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky:
Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR 2023: 2657-2668 - [c61]James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira:
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR 2023: 11909-11919 - [c60]James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky:
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR 2023: 14994-15004 - [c59]Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof:
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV 2023: 2839-2850 - [c58]Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky:
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV 2023: 20098-20108 - [c57]Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das:
AnyDA: Anytime Domain Adaptation. ICLR 2023 - [c56]Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR 2023 - [c55]Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim:
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR 2023 - [c54]Peihao Wang, Rameswar Panda, Zhangyang Wang:
Data Efficient Neural Scaling Law via Model Reusing. ICML 2023: 36193-36204 - [c53]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:
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS 2023 - [c52]Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov:
Energy Transformer. NeurIPS 2023 - [c51]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. NeurIPS 2023 - [c50]Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam:
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. WACV 2023: 402-411 - [c49]Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. WACV 2023: 4199-4208 - [i58]Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov:
Energy Transformer. CoRR abs/2302.07253 (2023) - [i57]Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR abs/2303.00980 (2023) - [i56]Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim:
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR abs/2303.02861 (2023) - [i55]Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof:
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR abs/2303.08914 (2023) - [i54]Aashka Trivedi, Takuma Udagawa, Michele Merler, Rameswar Panda, Yousef El-Kurdi, Bishwaranjan Bhattacharjee:
Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language Models. CoRR abs/2303.09639 (2023) - [i53]Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky:
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR abs/2303.17590 (2023) - [i52]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:
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR abs/2305.19595 (2023) - [i51]Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim:
LangNav: Language as a Perceptual Representation for Navigation. CoRR abs/2310.07889 (2023) - [i50]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. CoRR abs/2311.06231 (2023) - [i49]Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim:
Gated Linear Attention Transformers with Hardware-Efficient Training. CoRR abs/2312.06635 (2023) - 2022
- [j9]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris:
A Maximal Correlation Framework for Fair Machine Learning. Entropy 24(4): 461 (2022) - [c48]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CVPR 2022: 5206-5216 - [c47]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR 2022: 9184-9194 - [c46]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris:
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP 2022: 3523-3527 - [c45]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. ICLR 2022 - [c44]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
Can an Image Classifier Suffice For Action Recognition? ICLR 2022 - [c43]Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell:
Selective Regression under Fairness Criteria. ICML 2022: 19598-19615 - [c42]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:
FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS 2022 - [c41]Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris:
How Transferable are Video Representations Based on Synthetic Data? NeurIPS 2022 - [i48]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CoRR abs/2206.00100 (2022) - [i47]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:
FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR abs/2209.03648 (2022) - [i46]Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam:
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. CoRR abs/2210.09486 (2022) - [i45]James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky:
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR abs/2211.09790 (2022) - [i44]Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky:
Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR abs/2211.11733 (2022) - [i43]James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira:
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR abs/2211.13218 (2022) - [i42]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR abs/2212.09864 (2022) - 2021
- [b2]Rameswar Panda, Amit K. Roy-Chowdhury:
Person Re-identification with Limited Supervision. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00697-5, pp. 1-98 - [j8]Xueping Wang, Rameswar Panda, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury:
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 31(10): 4020-4030 (2021) - [c40]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:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI 2021: 9294-9302 - [c39]Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR 2021: 6165-6175 - [c38]Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR 2021: 10389-10399 - [c37]Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda:
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. ICCV 2021: 347-356 - [c36]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:
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [c35]Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. ICCV 2021: 7355-7365 - [c34]Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV 2021: 7556-7565 - [c33]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:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV 2021: 7992-8001 - [c32]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV 2021: 8825-8835 - [c31]Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris:
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR 2021 - [c30]Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris:
VA-RED2: Video Adaptive Redundancy Reduction. ICLR 2021 - [c29]Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell:
Fair Selective Classification Via Sufficiency. ICML 2021: 6076-6086 - [c28]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:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech 2021: 1584-1588 - [c27]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech 2021: 3006-3010 - [c26]Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS 2021: 3584-3595 - [c25]Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das:
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. NeurIPS 2021: 23386-23400 - [c24]Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva:
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS 2021: 24898-24911 - [i41]Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition with Temporal Contrastive Learning. CoRR abs/2102.02751 (2021) - [i40]Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris:
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR abs/2102.05775 (2021) - [i39]Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris:
VA-RED2: Video Adaptive Redundancy Reduction. CoRR abs/2102.07887 (2021) - [i38]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko:
All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR abs/2103.01435 (2021) - [i37]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR abs/2103.13517 (2021) - [i36]Chun-Fu Chen, Quanfu Fan, Rameswar Panda:
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. CoRR abs/2103.14899 (2021) - [i35]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:
Detector-Free Weakly Supervised Grounding by Separation. CoRR abs/2104.09829 (2021) - [i34]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:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR abs/2104.12671 (2021) - [i33]Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR abs/2105.05165 (2021) - [i32]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. CoRR abs/2106.02689 (2021) - [i31]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR abs/2106.07807 (2021) - [i30]Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva:
IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers. CoRR abs/2106.12620 (2021) - [i29]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
An Image Classifier Can Suffice For Video Understanding. CoRR abs/2106.14104 (2021) - [i28]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. CoRR abs/2108.10394 (2021) - [i27]Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das:
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. CoRR abs/2110.15128 (2021) - [i26]Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell:
Selective Regression Under Fairness Criteria. CoRR abs/2110.15403 (2021) - [i25]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. CoRR abs/2111.04823 (2021) - [i24]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR abs/2112.00054 (2021) - 2020
- [j7]Niluthpol Chowdhury Mithun, Rameswar Panda, Amit K. Roy-Chowdhury:
Construction of Diverse Image Datasets From Web Collections With Limited Labeling. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1147-1161 (2020) - [c23]Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris:
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops 2020: 1009-1018 - [c22]Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury:
Non-Adversarial Video Synthesis with Learned Priors. CVPR 2020: 6089-6098 - [c21]Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury:
Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning. CVPR 2020: 12141-12150 - [c20]Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris:
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) 2020: 86-104 - [c19]Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das:
Mitigating Dataset Imbalance via Joint Generation and Classification. ECCV Workshops (6) 2020: 177-193 - [c18]Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney:
Fairness of Classifiers Across Skin Tones in Dermatology. MICCAI (6) 2020: 320-329 - [c17]Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury:
Adversarial Knowledge Transfer from Unlabeled Data. ACM Multimedia 2020: 2175-2183 - [c16]Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko:
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. NeurIPS 2020 - [i23]Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury:
Non-Adversarial Video Synthesis with Learned Priors. CoRR abs/2003.09565 (2020) - [i22]Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR abs/2006.13314 (2020) - [i21]Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury:
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning. CoRR abs/2007.11149 (2020) - [i20]Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris:
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR abs/2007.15796 (2020) - [i19]Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das:
Mitigating Dataset Imbalance via Joint Generation and Classification. CoRR abs/2008.05524 (2020) - [i18]Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury:
Adversarial Knowledge Transfer from Unlabeled Data. CoRR abs/2008.05746 (2020) - [i17]Shasha Li, Karim Khalil, Rameswar Panda, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami:
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks. CoRR abs/2008.11772 (2020) - [i16]Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR abs/2010.11757 (2020) - [i15]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:
Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR abs/2011.10608 (2020) - [i14]Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. CoRR abs/2012.03358 (2020) - [i13]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris:
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. CoRR abs/2012.15259 (2020)
2010 – 2019
- 2019
- [j6]Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury:
Adaptation of person re-identification models for on-boarding new camera(s). Pattern Recognit. 96 (2019) - [i12]Xueping Wang, Rameswar Panda, Min Liu, Amit K. Roy-Chowdhury:
Consistent Cross-view Matching for Unsupervised Person Re-identification. CoRR abs/1908.10486 (2019) - [i11]Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney:
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets. CoRR abs/1910.13268 (2019) - [i10]Ximeng Sun, Rameswar Panda, Rogério Schmidt Feris:
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. CoRR abs/1911.12423 (2019) - 2018
- [b1]Rameswar Panda:
Visual Learning with Weak Supervision: Applications in Video Summarization and Person Re-Identification. University of California, Riverside, USA, 2018 - [j5]Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury:
Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection. IEEE Trans. Cybern. 48(3): 836-847 (2018) - [c15]Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury:
FFNet: Video Fast-Forwarding via Reinforcement Learning. CVPR 2018: 6771-6780 - [c14]Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury:
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. ECCV (2) 2018: 594-612 - [c13]Niluthpol Chowdhury Mithun, Rameswar Panda, Evangelos E. Papalexakis, Amit K. Roy-Chowdhury:
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval. ACM Multimedia 2018: 1856-1864 - [i9]Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury:
FFNet: Video Fast-Forwarding via Reinforcement Learning. CoRR abs/1805.02792 (2018) - [i8]Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury:
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. CoRR abs/1808.02212 (2018) - [i7]Niluthpol Chowdhury Mithun, Rameswar Panda, Evangelos E. Papalexakis, Amit K. Roy-Chowdhury:
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval. CoRR abs/1808.07793 (2018) - 2017
- [j4]Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury:
Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection. Comput. Vis. Image Underst. 156: 66-78 (2017) - [j3]Rameswar Panda, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury:
Diversity-Aware Multi-Video Summarization. IEEE Trans. Image Process. 26(10): 4712-4724 (2017) - [j2]Rameswar Panda, Amit K. Roy-Chowdhury:
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization. IEEE Trans. Multim. 19(9): 2010-2021 (2017) - [c12]Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury:
Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks. CVPR 2017: 1377-1386 - [c11]Rameswar Panda, Amit K. Roy-Chowdhury:
Collaborative Summarization of Topic-Related Videos. CVPR 2017: 4274-4283 - [c10]Rameswar Panda, Amit K. Roy-Chowdhury:
Sparse modeling for topic-oriented video summarization. ICASSP 2017: 1388-1392 - [c9]Rameswar Panda, Abir Das, Ziyan Wu, Jan Ernst, Amit K. Roy-Chowdhury:
Weakly Supervised Summarization of Web Videos. ICCV 2017: 3677-3686 - [i6]Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury:
Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks. CoRR abs/1706.03112 (2017) - [i5]Rameswar Panda, Amit K. Roy-Chowdhury:
Collaborative Summarization of Topic-Related Videos. CoRR abs/1706.03114 (2017) - [i4]Rameswar Panda, Amit K. Roy-Chowdhury:
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization. CoRR abs/1706.03121 (2017) - [i3]Rameswar Panda, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury:
Diversity-aware Multi-Video Summarization. CoRR abs/1706.03123 (2017) - 2016
- [c8]Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury:
Embedded sparse coding for summarizing multi-view videos. ICIP 2016: 191-195 - [c7]Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury:
Video summarization in a multi-view camera network. ICPR 2016: 2971-2976 - [c6]Niluthpol Chowdhury Mithun, Rameswar Panda, Amit K. Roy-Chowdhury:
Generating Diverse Image Datasets with Limited Labeling. ACM Multimedia 2016: 566-570 - [i2]Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury:
Continuous Adaptation of Multi-Camera Person Identification Models through Sparse Non-redundant Representative Selection. CoRR abs/1607.00417 (2016) - [i1]Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury:
Video Summarization in a Multi-View Camera Network. CoRR abs/1608.00310 (2016) - 2015
- [c5]Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury:
Active image pair selection for continuous person re-identification. ICIP 2015: 4263-4267 - 2014
- [c4]Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury:
Scalable Video Summarization Using Skeleton Graph and Random Walk. ICPR 2014: 3481-3486 - 2013
- [j1]Sanjay K. Kuanar, Rameswar Panda, Ananda S. Chowdhury:
Video key frame extraction through dynamic Delaunay clustering with a structural constraint. J. Vis. Commun. Image Represent. 24(7): 1212-1227 (2013) - [c3]Soumyadip Sengupta, Udit Halder, Rameswar Panda, Ananda S. Chowdhury:
A frequency domain approach to silhouette based gait recognition. NCVPRIPG 2013: 1-4 - [c2]Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury:
Video Key Frame Extraction through Canonical Correlation Analysis and Graph Modularity. PReMI 2013: 410-416 - 2012
- [c1]Ananda S. Chowdhury, Sanjay K. Kuanar, Rameswar Panda, Moloy N. Das:
Video storyboard design using Delaunay graphs. ICPR 2012: 3108-3111
Coauthor Index
David D. Cox
aka: David Daniel Cox
aka: David Daniel Cox
Rogério Feris
aka: Rogério Schmidt Feris
aka: Rogério Schmidt Feris
[c74] [i76] [c66] [c64] [i66] [i63] [c63] [c62] [c61] [c60] [c59] [c58] [c56] [c55] [c53] [c51] [c49] [i57] [i56] [i55] [i53] [i52] [i51] [i50] [j9] [c48] [c47] [c46] [c42] [c41] [i48] [i47] [i45] [i44] [i43] [i42] [c40] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c28] [c27] [c26] [c24] [i41] [i40] [i39] [i38] [i37] [i35] [i34] [i33] [i31] [i30] [i28] [i25] [i24] [c23] [c20] [c19] [c16] [i22] [i20] [i19] [i16] [i15] [i14] [i13] [i10]
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