Rameswar Panda

According to our database, Rameswar Panda authored at least 107 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

XPL: A Cross-Model framework for Semi-Supervised Prompt Learning in Vision-Language Models.

Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das

Trans. Mach. Learn. Res., 2024

Stick-breaking Attention.

Shawn Tan, Yikang Shen, Songlin Yang, Aaron C. Courville, Rameswar Panda

CoRR, 2024

Calibrating Expressions of Certainty.

Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland

CoRR, 2024

Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler.

Yikang Shen, Matthew Stallone, Mayank Mishra, Gaoyuan Zhang, Shawn Tan, Aditya Prasad, Adriana Meza Soria, David D. Cox, Rameswar Panda

CoRR, 2024

Scaling Granite Code Models to 128K Context.

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

CoRR, 2024

The infrastructure powering IBM's Gen AI model development.

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

CoRR, 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.

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

CoRR, 2024

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts.

Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter

CoRR, 2024

Reducing Transformer Key-Value Cache Size with Cross-Layer Attention.

William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley

CoRR, 2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

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

CoRR, 2024

Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models.

Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda

CoRR, 2024

Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization.

Aniruddha Nrusimha, Mayank Mishra, Naigang Wang, Dan Alistarh, Rameswar Panda, Yoon Kim

CoRR, 2024

Scattered Mixture-of-Experts Implementation.

Shawn Tan, Yikang Shen, Rameswar Panda, Aaron C. Courville

CoRR, 2024

API Pack: A Massive Multilingual Dataset for API Call Generation.

Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda

CoRR, 2024

Diversity Measurement and Subset Selection for Instruction Tuning Datasets.

Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda

CoRR, 2024

Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths.

Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

LangNav: Language as a Perceptual Representation for Navigation.

Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

SITAR: Semi-supervised Image Transformer for Action Recognition.

Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Gated Linear Attention Transformers with Hardware-Efficient Training.

Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data Engineering for Scaling Language Models to 128K Context.

Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language Models.

Aashka Trivedi, Takuma Udagawa, Michele Merler, Rameswar Panda, Yousef El-Kurdi, Bishwaranjan Bhattacharjee

CoRR, 2023

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation.

Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning.

Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Learning Human Action Recognition Representations Without Real Humans.

Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Energy Transformer.

Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data Efficient Neural Scaling Law via Model Reusing.

Peihao Wang, Rameswar Panda, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning.

Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Grow Pretrained Models for Efficient Transformer Training.

Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

AnyDA: Anytime Domain Adaptation.

Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Going Beyond Nouns With Vision & Language Models Using Synthetic Data.

Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge.

Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning.

James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ConStruct-VL: Data-Free Continual Structured VL Concepts Learning.

James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Teaching Structured Vision & Language Concepts to Vision & Language Models.

Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Synthetic Pre-Training Tasks for Neural Machine Translation.

Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Maximal Correlation Framework for Fair Machine Learning.

Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris

Entropy, 2022

Teaching Structured Vision&Language Concepts to Vision&Language Models.

Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky

CoRR, 2022

FETA: Towards Specializing Foundation Models for Expert Task Applications.

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

CoRR, 2022

How Transferable are Video Representations Based on Synthetic Data?

Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FETA: Towards Specializing Foundational Models for Expert Task Applications.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Selective Regression under Fairness Criteria.

Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell

Proceedings of the International Conference on Machine Learning, 2022

Can an Image Classifier Suffice For Action Recognition?

Quanfu Fan, Chun-Fu Chen, Rameswar Panda

Proceedings of the Tenth International Conference on Learning Representations, 2022

RegionViT: Regional-to-Local Attention for Vision Transformers.

Chun-Fu Chen, Rameswar Panda, Quanfu Fan

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Maximal Correlation Approach to Imposing Fairness in Machine Learning.

Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris

Proceedings of the IEEE International Conference on Acoustics, 2022

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data.

Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VALHALLA: Visual Hallucination for Machine Translation.

Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Person Re-identification with Limited Supervision

Rameswar Panda, Amit K. Roy-Chowdhury

Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, ISBN: 978-3-031-01825-1, 2021

Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification.

Xueping Wang, Rameswar Panda, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury

IEEE Trans. Circuits Syst. Video Technol., 2021

An Image Classifier Can Suffice For Video Understanding.

Quanfu Fan, Chun-Fu Chen, Rameswar Panda

CoRR, 2021

IA-RED²: Interpretability-Aware Redundancy Reduction for Vision Transformers.

Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva

CoRR, 2021

All at Once Network Quantization via Collaborative Knowledge Transfer.

Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko

CoRR, 2021

VA-RED²: Video Adaptive Redundancy Reduction.

Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris

CoRR, 2021

Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing.

Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers.

Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data.

Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos.

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

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Cascaded Multilingual Audio-Visual Learning from Videos.

Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Fair Selective Classification Via Sufficiency.

Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell

Proceedings of the 38th International Conference on Machine Learning, 2021

VA-RED2: Video Adaptive Redundancy Reduction.

Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the 9th International Conference on Learning Representations, 2021

AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition.

Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the 9th International Conference on Learning Representations, 2021

Dynamic Network Quantization for Efficient Video Inference.

Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition.

Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Broad Study on the Transferability of Visual Representations with Contrastive Learning.

Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification.

Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Detector-Free Weakly Supervised Grounding by Separation.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semi-Supervised Action Recognition With Temporal Contrastive Learning.

Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition.

Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Construction of Diverse Image Datasets From Web Collections With Limited Labeling.

Niluthpol Chowdhury Mithun, Rameswar Panda, Amit K. Roy-Chowdhury

IEEE Trans. Circuits Syst. Video Technol., 2020

Large Scale Neural Architecture Search with Polyharmonic Splines.

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

CoRR, 2020

Measurement-driven Security Analysis of Imperceptible Impersonation Attacks.

Shasha Li, Karim Khalil, Rameswar Panda, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami

CoRR, 2020

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning.

Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Knowledge Transfer from Unlabeled Data.

Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Fairness of Classifiers Across Skin Tones in Dermatology.

Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Mitigating Dataset Imbalance via Joint Generation and Classification.

Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AR-Net: Adaptive Frame Resolution for Efficient Action Recognition.

Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris

Proceedings of the Computer Vision - ECCV 2020, 2020

Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors.

Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Non-Adversarial Video Synthesis with Learned Priors.

Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning.

Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Adaptation of person re-identification models for on-boarding new camera(s).

Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury

Pattern Recognit., 2019

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning.

Ximeng Sun, Rameswar Panda, Rogério Schmidt Feris

CoRR, 2019

Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets.

Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney

CoRR, 2019

Consistent Cross-view Matching for Unsupervised Person Re-identification.

Xueping Wang, Rameswar Panda, Min Liu, Amit K. Roy-Chowdhury

CoRR, 2019

2018

Visual Learning with Weak Supervision: Applications in Video Summarization and Person Re-Identification.

Rameswar Panda

PhD thesis, 2018

Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection.

Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury

IEEE Trans. Cybern., 2018

Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval.

Niluthpol Chowdhury Mithun, Rameswar Panda, Evangelos E. Papalexakis, Amit K. Roy-Chowdhury

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias.

Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury

Proceedings of the Computer Vision - ECCV 2018, 2018

FFNet: Video Fast-Forwarding via Reinforcement Learning.

Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization.

Rameswar Panda, Amit K. Roy-Chowdhury

IEEE Trans. Multim., 2017

Diversity-Aware Multi-Video Summarization.

Rameswar Panda, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury

IEEE Trans. Image Process., 2017

Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection.

Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury

Comput. Vis. Image Underst., 2017

Weakly Supervised Summarization of Web Videos.

Rameswar Panda, Abir Das, Ziyan Wu, Jan Ernst, Amit K. Roy-Chowdhury

Proceedings of the IEEE International Conference on Computer Vision, 2017

Sparse modeling for topic-oriented video summarization.

Rameswar Panda, Amit K. Roy-Chowdhury

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Collaborative Summarization of Topic-Related Videos.

Rameswar Panda, Amit K. Roy-Chowdhury

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks.

Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Generating Diverse Image Datasets with Limited Labeling.

Niluthpol Chowdhury Mithun, Rameswar Panda, Amit K. Roy-Chowdhury

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Video summarization in a multi-view camera network.

Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Embedded sparse coding for summarizing multi-view videos.

Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Active image pair selection for continuous person re-identification.

Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Scalable Video Summarization Using Skeleton Graph and Random Walk.

Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Video key frame extraction through dynamic Delaunay clustering with a structural constraint.

Sanjay K. Kuanar, Rameswar Panda, Ananda S. Chowdhury

J. Vis. Commun. Image Represent., 2013

Video Key Frame Extraction through Canonical Correlation Analysis and Graph Modularity.

Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

A frequency domain approach to silhouette based gait recognition.

Soumyadip Sengupta, Udit Halder, Rameswar Panda, Ananda S. Chowdhury

Proceedings of the Fourth National Conference on Computer Vision, 2013

2012

Video storyboard design using Delaunay graphs.

Ananda S. Chowdhury, Sanjay K. Kuanar, Rameswar Panda, Moloy N. Das

Proceedings of the 21st International Conference on Pattern Recognition, 2012