Rameswar Panda

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 138

Top Venues

University of California, Riverside, USA (PHD)

Education History

University of California, Riverside, USA

PHD

Publications

Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
API Pack: A Massive Multilingual Dataset for API Call Generation. CoRR (2024)
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)
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 (2024)
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 (2024)
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 (2024)
William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention. CoRR (2024)
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)
Shawn Tan, Yikang Shen, Rameswar Panda, Aaron C. Courville
Scattered Mixture-of-Experts Implementation. CoRR (2024)
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 (2024)
Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng
Data Engineering for Scaling Language Models to 128K Context. CoRR (2024)
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 (2024)
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 (2024)
Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR (2024)
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 (2024)
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)
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 (2023)
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 (2023)
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)
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 (2023)
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)
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)
Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das
AnyDA: Anytime Domain Adaptation. ICLR (2023)
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 (2023)
Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim
Gated Linear Attention Transformers with Hardware-Efficient Training. CoRR (2023)
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)
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)
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
Energy Transformer. NeurIPS (2023)
Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) (2023)
Peihao Wang, Rameswar Panda, Zhangyang Wang
Data Efficient Neural Scaling Law via Model Reusing. ICML (2023)
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
Energy Transformer. CoRR (2023)
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 (2023)
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)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR (2023)
Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR (2023)
Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR (2023)
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)
Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
LangNav: Language as a Perceptual Representation for Navigation. CoRR (2023)
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)
Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. WACV (2023)
Md. Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. CoRR (2022)
Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
VALHALLA: Visual Hallucination for Machine Translation. CoRR (2022)
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 (2022)
Chun-Fu Chen, Rameswar Panda, Quanfu Fan
RegionViT: Regional-to-Local Attention for Vision Transformers. ICLR (2022)
Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
Selective Regression under Fairness Criteria. ICML (2022)
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)
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)
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)
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)
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)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR (2022)
Quanfu Fan, Chun-Fu Chen, Rameswar Panda
Can an Image Classifier Suffice For Action Recognition? ICLR (2022)
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)
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)
Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS (2021)
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 (2021)
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)
Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
Selective Regression Under Fairness Criteria. CoRR (2021)
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)
Chun-Fu Chen, Quanfu Fan, Rameswar Panda
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. CoRR (2021)
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)
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 (2021)
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)
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 (2021)
Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko
Dynamic Network Quantization for Efficient Video Inference. ICCV (2021)
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)
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)
Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
Semi-Supervised Action Recognition with Temporal Contrastive Learning. CoRR (2021)
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)
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)
Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva
: Interpretability-Aware Redundancy Reduction for Vision Transformers. CoRR (2021)
Chun-Fu Chen, Rameswar Panda, Quanfu Fan
RegionViT: Regional-to-Local Attention for Vision Transformers. CoRR (2021)
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)
Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. CoRR (2021)
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 (2021)
Quanfu Fan, Chun-Fu Chen, Rameswar Panda
An Image Classifier Can Suffice For Video Understanding. CoRR (2021)
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 (2021)
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 (2021)
Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell
Fair Selective Classification Via Sufficiency. ICML (2021)
Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. ICCV (2021)
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 (2021)
Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko
Dynamic Network Quantization for Efficient Video Inference. CoRR (2021)
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 (2021)
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) (2021)
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 (2021)
Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
: Video Adaptive Redundancy Reduction. CoRR (2021)
Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR (2021)
Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. NeurIPS (2021)
Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury
Non-Adversarial Video Synthesis with Learned Priors. CVPR (2020)
Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. NeurIPS (2020)
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 (2020)
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 (2020)
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 (2020)
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)
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)
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 (2020)
Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das
Mitigating Dataset Imbalance via Joint Generation and Classification. CoRR (2020)

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Publication Activity (10 Years)

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Rameswar Panda