Abir Das

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Venues

CoRR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

NetSoft

University of California, Riverside, USA (PHD)

Education History

University of California, Riverside, USA

PHD

Publications

Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta
Towards Adaptive IMFs - Generalization of utility functions in Multi-Agent Frameworks. 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)
Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta
Towards Adaptive Networks - Generalized utility functions in Multi-Agent Frameworks. NetSoft (2024)
Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das
Convolutional Prompting meets Language Models for Continual Learning. CoRR (2024)
Satheesh Kumar Perepu, Kaushik Dey, Abir Das
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents. COMAD/CODS (2024)
Kaushik Dey, Satheesh K. Perepu, Abir Das
Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs. CCNC (2024)
Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das
AnyDA: Anytime Domain Adaptation. ICLR (2023)
Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
Exemplar-Free Continual Transformer with Convolutions. CoRR (2023)
Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. NetSoft (2023)
Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
Exemplar-Free Continual Transformer with Convolutions. ICCV (2023)
Rohit Raj, Biplab Roy, Abir Das, Mainack Mondal
"We Must Protect the Transformers": Understanding Efficacy of Backdoor Attack Mitigation on Transformer Models. SPACE (2023)
Kaushik Dey, Satheesh K. Perepu, Abir Das
Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs. CoRR (2023)
Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. 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)
Anurag Roy, David Johnson Ekka, Saptarshi Ghosh, Abir Das
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets. CoRR (2022)
Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das
Reinforcement Explanation Learning. CoRR (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)
Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. 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)
Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell
Revisiting Few-shot Activity Detection with Class Similarity Control. CoRR (2020)
Rizwana Ahmad, Mohammad Dehghani Soltani, Majid Safari, Anand Srivastava, Abir Das
Reinforcement Learning Based Load Balancing for Hybrid LiFi WiFi Networks. IEEE Access 8 (2020)
Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das
Mitigating Dataset Imbalance via Joint Generation and Classification. CoRR (2020)
Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. CoRR (2020)
Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das
Mitigating Dataset Imbalance via Joint Generation and Classification. ECCV Workshops (6) (2020)
Huijuan Xu, Abir Das, Kate Saenko
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection. CoRR (2019)
Huijuan Xu, Abir Das, Kate Saenko
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41 (10) (2019)
Vitali Petsiuk, Abir Das, Kate Saenko
RISE: Randomized Input Sampling for Explanation of Black-box Models. CoRR (2018)
Vitali Petsiuk, Abir Das, Kate Saenko
RISE: Randomized Input Sampling for Explanation of Black-box Models. BMVC (2018)
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 (2017)
Rameswar Panda, Abir Das, Ziyan Wu, Jan Ernst, Amit K. Roy-Chowdhury
Weakly Supervised Summarization of Web Videos. ICCV (2017)
Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko
Top-Down Visual Saliency Guided by Captions. CVPR (2017)
Huijuan Xu, Abir Das, Kate Saenko
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection. CoRR (2017)
Huijuan Xu, Abir Das, Kate Saenko
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection. ICCV (2017)
Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
Video Summarization in a Multi-View Camera Network. CoRR (2016)
Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
Continuous Adaptation of Multi-Camera Person Identification Models through Sparse Non-redundant Representative Selection. CoRR (2016)
Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
Embedded sparse coding for summarizing multi-view videos. ICIP (2016)
Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko
Top-down Visual Saliency Guided by Captions. CoRR (2016)
Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
Video summarization in a multi-view camera network. ICPR (2016)
Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury
Temporal Model Adaptation for Person Re-Identification. CoRR (2016)
Anirban Chakraborty, Abir Das, Amit K. Roy-Chowdhury
Network Consistent Data Association. IEEE Trans. Pattern Anal. Mach. Intell. 38 (9) (2016)
Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury
Temporal Model Adaptation for Person Re-identification. ECCV (4) (2016)
Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko
Multimodal Video Description. ACM Multimedia (2016)
Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
Active image pair selection for continuous person re-identification. ICIP (2015)
Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury
Re-Identification in the Function Space of Feature Warps. IEEE Trans. Pattern Anal. Mach. Intell. 37 (8) (2015)
Abir Das, Anirban Chakraborty, Amit K. Roy-Chowdhury
Consistent Re-identification in a Camera Network. ECCV (2) (2014)
Shu Zhang, Abir Das, Chong Ding, Amit K. Roy-Chowdhury
Online Social Behavior Modeling for Multi-target Tracking. CVPR Workshops (2013)

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Publication Activity (10 Years)

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Abir Das