Abir Das

According to our database, Abir Das authored at least 31 papers between 2013 and 2024.

Collaborative distances:

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

2024

Convolutional Prompting meets Language Models for Continual Learning.

Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das

CoRR, 2024

DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents.

Satheesh Kumar Perepu, Kaushik Dey, Abir Das

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs.

Kaushik Dey, Satheesh K. Perepu, Abir Das

Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

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

"We Must Protect the Transformers": Understanding Efficacy of Backdoor Attack Mitigation on Transformer Models.

Rohit Raj, Biplab Roy, Abir Das, Mainack Mondal

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2023

Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity.

Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

AnyDA: Anytime Domain Adaptation.

Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exemplar-Free Continual Transformer with Convolutions.

Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das

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

2022

Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets.

Anurag Roy, David Johnson Ekka, Saptarshi Ghosh, Abir Das

CoRR, 2022

2021

Reinforcement Explanation Learning.

Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das

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

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

2020

Revisiting Few-shot Activity Detection with Class Similarity Control.

Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell

CoRR, 2020

Reinforcement Learning Based Load Balancing for Hybrid LiFi WiFi Networks.

Rizwana Ahmad, Mohammad Dehghani Soltani, Majid Safari, Anand Srivastava, Abir Das

IEEE Access, 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

2019

Two-Stream Region Convolutional 3D Network for Temporal Activity Detection.

Huijuan Xu, Abir Das, Kate Saenko

IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018

RISE: Randomized Input Sampling for Explanation of Black-box Models.

Vitali Petsiuk, Abir Das, Kate Saenko

Proceedings of the British Machine Vision Conference 2018, 2018

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

R-C3D: Region Convolutional 3D Network for Temporal Activity Detection.

Huijuan Xu, Abir Das, Kate Saenko

Proceedings of the IEEE International Conference on Computer Vision, 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

Top-Down Visual Saliency Guided by Captions.

Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko

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

2016

Network Consistent Data Association.

Anirban Chakraborty, Abir Das, Amit K. Roy-Chowdhury

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Multimodal Video Description.

Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko

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

Temporal Model Adaptation for Person Re-identification.

Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Active Learning in Multi-Camera Networks, With Applications in Person Re-Identification.

Abir Das

PhD thesis, 2015

Re-Identification in the Function Space of Feature Warps.

Niki Martinel, Abir Das, Christian Micheloni, Amit K. Roy-Chowdhury

IEEE Trans. Pattern Anal. Mach. Intell., 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

Consistent Re-identification in a Camera Network.

Abir Das, Anirban Chakraborty, Amit K. Roy-Chowdhury

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Online Social Behavior Modeling for Multi-target Tracking.

Shu Zhang, Abir Das, Chong Ding, Amit K. Roy-Chowdhury

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013