Subhankar Roy

Orcid: 0000-0002-6307-7043

According to our database1, Subhankar Roy authored at least 30 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Simplifying open-set video domain adaptation with contrastive learning.
Comput. Vis. Image Underst., 2024

Organizing Unstructured Image Collections using Natural Language.
CoRR, 2024

One-Shot Unlearning of Personal Identities.
CoRR, 2024

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning.
CoRR, 2024

Need of Public-Private Healthcare Collaboration for Managing Seasonal Dengue Fever in West Bengal.
Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024

Democratizing Fine-grained Visual Recognition with Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Weighted Ensemble Models Are Strong Continual Learners.
Proceedings of the Computer Vision - ECCV 2024, 2024

Collaborating Foundation Models for Domain Generalized Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation.
CoRR, 2023

Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery.
CoRR, 2023

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation.
Proceedings of the Conference on Lifelong Learning Agents, 2023

A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

2022
Uncertainty-Guided Source-Free Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Incremental Novel Class Discovery.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
TriGAN: image-to-image translation for multi-source domain adaptation.
Mach. Vis. Appl., 2021

Metric-Learning-Based Deep Hashing Network for Content-Based Retrieval of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2021

Neighborhood Contrastive Learning for Novel Class Discovery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.
IEEE Trans. Medical Imaging, 2020

Motion-supervised Co-Part Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Unsupervised Domain Adaptation Using Full-Feature Whitening and Colouring.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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