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2020 – today
- 2023
[c48]Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam:
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. WACV 2023: 402-411- [c47]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 - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - 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) - [c46]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 - [c45]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 - [c44]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 - [c43]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. ICLR 2022 - [c42]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
Can an Image Classifier Suffice For Action Recognition? ICLR 2022 - [c41]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 - [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, 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
Rogério Feris
aka: Rogério Schmidt Feris
aka: Rogério Schmidt Feris
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