Abir Das

52 papers A* 9A 2B 5Journal 27Unranked 8
YearRankTypeTitle / Venue / Authors
2024 A* conf
Convolutional Prompting meets Language Models for Continual Learning.
CVPR
Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das
2024 J jnl
Convolutional Prompting meets Language Models for Continual Learning.
CoRR
Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das
2024 — conf
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents.
COMAD/CODS
Satheesh Kumar Perepu, Kaushik Dey, Abir Das
2024 — conf
Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs.
CCNC
Kaushik Dey, Satheesh K. Perepu, Abir Das
2024 J jnl
Machine Fault Diagnosis Using Audio Sensors Data and Explainable AI Techniques-LIME and SHAP.
Comput. Mater. Continua
Aniqua Nusrat Zereen, Abir Das, Jia Uddin
2024 — conf
SITAR: Semi-supervised Image Transformer for Action Recognition.
ICPR (10)
Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das
2024 J jnl
SITAR: Semi-supervised Image Transformer for Action Recognition.
CoRR
Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das
2024 J jnl
Towards Adaptive IMFs - Generalization of utility functions in Multi-Agent Frameworks.
CoRR
Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta
2024 B conf
Towards Adaptive Networks - Generalized utility functions in Multi-Agent Frameworks.
NetSoft
Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta
2024 J jnl
XPL: A Cross-Model framework for Semi-Supervised Prompt Learning in Vision-Language Models.
Trans. Mach. Learn. Res.
Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das
2023 — conf
"We Must Protect the Transformers": Understanding Efficacy of Backdoor Attack Mitigation on Transformer Models.
SPACE
Rohit Raj, Biplab Roy, Abir Das, Mainack Mondal
2023 A* conf
AnyDA: Anytime Domain Adaptation.
ICLR
Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das
2023 B conf
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity.
NetSoft
Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das
2023 J jnl
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity.
CoRR
Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das
2023 A* conf
Exemplar-Free Continual Transformer with Convolutions.
ICCV
Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
2023 J jnl
Exemplar-Free Continual Transformer with Convolutions.
CoRR
Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
2023 J jnl
Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs.
CoRR
Kaushik Dey, Satheesh K. Perepu, Abir Das
2023 A conf
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation.
WACV
Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2022 J jnl
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets.
CoRR
Anurag Roy, David Johnson Ekka, Saptarshi Ghosh, Abir Das
2021 A* conf
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing.
NeurIPS
Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
2021 J jnl
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing.
CoRR
Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
2021 J jnl
Reinforcement Explanation Learning.
CoRR
Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das
2021 A* conf
Semi-Supervised Action Recognition With Temporal Contrastive Learning.
CVPR
Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2021 J jnl
Semi-Supervised Action Recognition with Temporal Contrastive Learning.
CoRR
Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2020 — conf
Mitigating Dataset Imbalance via Joint Generation and Classification.
ECCV Workshops (6)
Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das
2020 J jnl
Mitigating Dataset Imbalance via Joint Generation and Classification.
CoRR
Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das
2020 J jnl
Reinforcement Learning Based Load Balancing for Hybrid LiFi WiFi Networks.
IEEE Access
Rizwana Ahmad, Mohammad Dehghani Soltani, Majid Safari, Anand Srivastava, Abir Das
2020 J jnl
Revisiting Few-shot Activity Detection with Class Similarity Control.
CoRR
Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell
2020 J jnl
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation.
CoRR
Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2019 J jnl
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection.
CoRR
Huijuan Xu, Abir Das, Kate Saenko
2019 J jnl
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Huijuan Xu, Abir Das, Kate Saenko
2018 A conf
RISE: Randomized Input Sampling for Explanation of Black-box Models.
BMVC
Vitali Petsiuk, Abir Das, Kate Saenko
2018 J jnl
RISE: Randomized Input Sampling for Explanation of Black-box Models.
CoRR
Vitali Petsiuk, Abir Das, Kate Saenko
2017 J jnl
Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection.
Comput. Vis. Image Underst.
Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
2017 A* conf
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection.
ICCV
Huijuan Xu, Abir Das, Kate Saenko
2017 J jnl
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection.
CoRR
Huijuan Xu, Abir Das, Kate Saenko
2017 A* conf
Top-Down Visual Saliency Guided by Captions.
CVPR
Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko
2017 A* conf
Weakly Supervised Summarization of Web Videos.
ICCV
Rameswar Panda, Abir Das, Ziyan Wu, Jan Ernst, Amit K. Roy-Chowdhury
2016 J jnl
Continuous Adaptation of Multi-Camera Person Identification Models through Sparse Non-redundant Representative Selection.
CoRR
Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
2016 B conf
Embedded sparse coding for summarizing multi-view videos.
ICIP
Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
2016 A* conf
Multimodal Video Description.
ACM Multimedia
Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko
2016 J jnl
Network Consistent Data Association.
IEEE Trans. Pattern Anal. Mach. Intell.
Anirban Chakraborty, Abir Das, Amit K. Roy-Chowdhury
2016 J jnl
Temporal Model Adaptation for Person Re-Identification.
CoRR
Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury
2016 — conf
Temporal Model Adaptation for Person Re-identification.
ECCV (4)
Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury
2016 J jnl
Top-down Visual Saliency Guided by Captions.
CoRR
Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko
2016 J jnl
Video Summarization in a Multi-View Camera Network.
CoRR
Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
2016 B conf
Video summarization in a multi-view camera network.
ICPR
Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury
2015 — —
Active Learning in Multi-Camera Networks, With Applications in Person Re-Identification.
Abir Das
2015 B conf
Active image pair selection for continuous person re-identification.
ICIP
Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
2015 J jnl
Re-Identification in the Function Space of Feature Warps.
IEEE Trans. Pattern Anal. Mach. Intell.
Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury
2014 — conf
Consistent Re-identification in a Camera Network.
ECCV (2)
Abir Das, Anirban Chakraborty, Amit K. Roy-Chowdhury
2013 — conf
Online Social Behavior Modeling for Multi-target Tracking.
CVPR Workshops
Shu Zhang, Abir Das, Chong Ding, Amit K. Roy-Chowdhury