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Abir Das
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2020 – today
- 2024
- [j6]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) - [c24]Kaushik Dey, Satheesh K. Perepu, Abir Das:
Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs. CCNC 2024: 425-432 - [c23]Satheesh Kumar Perepu
, Kaushik Dey
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents. COMAD/CODS 2024: 73-81 - [c22]Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das:
Convolutional Prompting meets Language Models for Continual Learning. CVPR 2024: 23616-23626 - [c21]Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das:
SITAR: Semi-supervised Image Transformer for Action Recognition. ICPR (10) 2024: 114-130 - [c20]Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta:
Towards Adaptive Networks - Generalized utility functions in Multi-Agent Frameworks. NetSoft 2024: 336-340 - [i20]Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das:
Convolutional Prompting meets Language Models for Continual Learning. CoRR abs/2403.20317 (2024) - [i19]Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta:
Towards Adaptive IMFs - Generalization of utility functions in Multi-Agent Frameworks. CoRR abs/2405.07621 (2024) - [i18]Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das:
SITAR: Semi-supervised Image Transformer for Action Recognition. CoRR abs/2409.02910 (2024) - 2023
- [c19]Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. ICCV 2023: 5874-5884 - [c18]Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das:
AnyDA: Anytime Domain Adaptation. ICLR 2023 - [c17]Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das:
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. NetSoft 2023: 152-160 - [c16]Rohit Raj
"We Must Protect the Transformers": Understanding Efficacy of Backdoor Attack Mitigation on Transformer Models. SPACE 2023: 242-260 - [c15]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 - [i17]Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das:
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. CoRR abs/2303.01013 (2023) - [i16]Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. CoRR abs/2308.11357 (2023) - [i15]Kaushik Dey, Satheesh K. Perepu, Abir Das:
Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs. CoRR abs/2310.17416 (2023) - 2022
- [i14]Anurag Roy, David Johnson Ekka, Saptarshi Ghosh, Abir Das:
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets. CoRR abs/2210.07076 (2022) - 2021
- [c14]Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko
Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR 2021: 10389-10399 - [c13]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 - [i13]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) - [i12]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) - [i11]Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das:
Reinforcement Explanation Learning. CoRR abs/2111.13406 (2021) - 2020
- [j5]Rizwana Ahmad
Reinforcement Learning Based Load Balancing for Hybrid LiFi WiFi Networks. IEEE Access 8: 132273-132284 (2020) - [c12]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 - [i10]Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell:
Revisiting Few-shot Activity Detection with Class Similarity Control. CoRR abs/2004.00137 (2020) - [i9]Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das:
Mitigating Dataset Imbalance via Joint Generation and Classification. CoRR abs/2008.05524 (2020) - [i8]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)
2010 – 2019
- 2019
- [j4]Huijuan Xu
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2319-2332 (2019) - [i7]Huijuan Xu, Abir Das, Kate Saenko:
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection. CoRR abs/1906.02182 (2019) - 2018
- [c11]Vitali Petsiuk, Abir Das, Kate Saenko:
RISE: Randomized Input Sampling for Explanation of Black-box Models. BMVC 2018: 151 - [i6]Vitali Petsiuk, Abir Das, Kate Saenko:
RISE: Randomized Input Sampling for Explanation of Black-box Models. CoRR abs/1806.07421 (2018) - 2017
- [j3]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) - [c10]Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko
Top-Down Visual Saliency Guided by Captions. CVPR 2017: 3135-3144 - [c9]Rameswar Panda, Abir Das, Ziyan Wu, Jan Ernst
Weakly Supervised Summarization of Web Videos. ICCV 2017: 3677-3686 - [c8]Huijuan Xu, Abir Das, Kate Saenko
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection. ICCV 2017: 5794-5803 - [i5]Huijuan Xu, Abir Das, Kate Saenko:
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection. CoRR abs/1703.07814 (2017) - 2016
- [j2]Anirban Chakraborty, Abir Das, Amit K. Roy-Chowdhury:
Network Consistent Data Association. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1859-1871 (2016) - [c7]Niki Martinel
Temporal Model Adaptation for Person Re-identification. ECCV (4) 2016: 858-877 - [c6]Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury:
Embedded sparse coding for summarizing multi-view videos. ICIP 2016: 191-195 - [c5]Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury:
Video summarization in a multi-view camera network. ICPR 2016: 2971-2976 - [c4]Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko
Multimodal Video Description. ACM Multimedia 2016: 1092-1096 - [i4]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) - [i3]Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury:
Temporal Model Adaptation for Person Re-Identification. CoRR abs/1607.07216 (2016) - [i2]Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury:
Video Summarization in a Multi-View Camera Network. CoRR abs/1608.00310 (2016) - [i1]Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko:
Top-down Visual Saliency Guided by Captions. CoRR abs/1612.07360 (2016) - 2015
- [b1]Abir Das:
Active Learning in Multi-Camera Networks, With Applications in Person Re-Identification. University of California, Riverside, USA, 2015 - [j1]Niki Martinel
Re-Identification in the Function Space of Feature Warps. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1656-1669 (2015) - [c3]Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury:
Active image pair selection for continuous person re-identification. ICIP 2015: 4263-4267 - 2014
- [c2]Abir Das, Anirban Chakraborty, Amit K. Roy-Chowdhury:
Consistent Re-identification in a Camera Network. ECCV (2) 2014: 330-345 - 2013
- [c1]Shu Zhang, Abir Das, Chong Ding, Amit K. Roy-Chowdhury:
Online Social Behavior Modeling for Multi-target Tracking. CVPR Workshops 2013: 751-758
Coauthor Index
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last updated on 2024-12-13 19:13 CET by the dblp team
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