Subhankar Roy

According to our database, Subhankar Roy authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

Democratizing Fine-grained Visual Recognition with Large Language Models.

Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci

CoRR, 2024

2023

Collaborating Foundation models for Domain Generalized Semantic Segmentation.

Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière

CoRR, 2023

Weighted Ensemble Models Are Strong Continual Learners.

Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière

CoRR, 2023

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

Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière

CoRR, 2023

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

Mingxuan Liu, Subhankar Roy, Zhun Zhong, Nicu Sebe, Elisa Ricci

CoRR, 2023

Simplifying Open-Set Video Domain Adaptation with Contrastive Learning.

Giacomo Zara, Victor Guilherme Turrisi da Costa, Subhankar Roy, Paolo Rota, Elisa Ricci

CoRR, 2023

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation.

Yangsong Zhang, Subhankar Roy, Hongtao Lu, Elisa Ricci, Stéphane Lathuilière

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.

Giacomo Zara, Alessandro Conti, Subhankar Roy, Stéphane Lathuilière, Paolo Rota, Elisa Ricci

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

AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation.

Giacomo Zara, Subhankar Roy, Paolo Rota, Elisa Ricci

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.

Tianyu Li, Subhankar Roy, Huayi Zhou, Hongtao Lu, Stéphane Lathuilière

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models.

Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation.

Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus

Proceedings of the Conference on Lifelong Learning Agents, 2023

A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression.

Subhankar Roy, Anirban Mukhopadhyay

Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

2022

Uncertainty-Guided Source-Free Domain Adaptation.

Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin

Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Incremental Novel Class Discovery.

Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

TriGAN: image-to-image translation for multi-source domain adaptation.

Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci

Mach. Vis. Appl., 2021

Metric-Learning-Based Deep Hashing Network for Content-Based Retrieval of Remote Sensing Images.

Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe

IEEE Geosci. Remote. Sens. Lett., 2021

Neighborhood Contrastive Learning for Novel Class Discovery.

Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation.

Subhankar Roy, Evgeny Krivosheev, Zhun Zhong, Nicu Sebe, Elisa Ricci

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.

Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris A. M. Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi

IEEE Trans. Medical Imaging, 2020

Motion-supervised Co-Part Segmentation.

Aliaksandr Siarohin, Subhankar Roy, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Regularized Evolutionary Algorithm for Dynamic Neural Topology Search.

Cristiano Saltori, Subhankar Roy, Nicu Sebe, Giovanni Iacca

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Unsupervised Domain Adaptation Using Full-Feature Whitening and Colouring.

Subhankar Roy, Aliaksandr Siarohin, Nicu Sebe

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss.

Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe, Elisa Ricci

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.

Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification.

Subhankar Roy, Enver Sangineto, Nicu Sebe, Begüm Demir

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018