Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification. - Subhankar Roy; Enver Sangineto; Nicu Sebe; Begüm Demir (ICIP, 2018)

Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images. - Subhankar Roy; Enver Sangineto; Begüm Demir; Nicu Sebe (IGARSS, 2018)

Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss. - Subhankar Roy; Aliaksandr Siarohin; Enver Sangineto; Samuel Rota Bulò; Nicu Sebe; Elisa Ricci 001 (CVPR, 2019)

Unsupervised Domain Adaptation Using Full-Feature Whitening and Colouring. - Subhankar Roy; Aliaksandr Siarohin; Nicu Sebe (ICIAP (2), 2019)

Regularized Evolutionary Algorithm for Dynamic Neural Topology Search. - Cristiano Saltori; Subhankar Roy; Nicu Sebe; Giovanni Iacca (ICIAP (1), 2019)

Motion-supervised Co-Part Segmentation. - Aliaksandr Siarohin; Subhankar Roy; Stéphane Lathuilière; Sergey Tulyakov; Elisa Ricci 001; Nicu Sebe (ICPR, 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; et al. (IEEE Trans. Medical Imaging, 2020)

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation. - Subhankar Roy; Evgeny Krivosheev; Zhun Zhong; Nicu Sebe; Elisa Ricci 001 (CVPR, 2021)

Neighborhood Contrastive Learning for Novel Class Discovery. - Zhun Zhong; Enrico Fini; Subhankar Roy; Zhiming Luo; Elisa Ricci 001; Nicu Sebe (CVPR, 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)

TriGAN: image-to-image translation for multi-source domain adaptation. - Subhankar Roy; Aliaksandr Siarohin; Enver Sangineto; Nicu Sebe; Elisa Ricci 001 (Mach. Vis. Appl., 2021)

Class-Incremental Novel Class Discovery. - Subhankar Roy; Mingxuan Liu; Zhun Zhong; Nicu Sebe; Elisa Ricci 001 (ECCV (33), 2022)

Uncertainty-Guided Source-Free Domain Adaptation. - Subhankar Roy; Martin Trapp 001; Andrea Pilzer; Juho Kannala; Nicu Sebe; Elisa Ricci 001; Arno Solin (ECCV (25), 2022)

A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression. - Subhankar Roy; Anirban Mukhopadhyay 001 (CICBA (1), 2023)

RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. - Subhankar Roy; Riccardo Volpi; Gabriela Csurka; Diane Larlus (CoLLAs, 2023)

One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models. - Yasser Benigmim; Subhankar Roy; Slim Essid; Vicky Kalogeiton; Stéphane Lathuilière (CVPR Workshops, 2023)

Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation. - Tianyu Li; Subhankar Roy; Huayi Zhou 001; Hongtao Lu 001; Stéphane Lathuilière (CVPR Workshops, 2023)

AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation. - Giacomo Zara; Subhankar Roy; Paolo Rota; Elisa Ricci 001 (CVPR, 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 001 (ICCV, 2023)

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation. - Yangsong Zhang; Subhankar Roy; Hongtao Lu 001; Elisa Ricci 001; Stéphane Lathuilière (WACV, 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)

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning. - Thomas De Min; Massimiliano Mancini; Stéphane Lathuilière; Subhankar Roy; Elisa Ricci 001 (CoLLAs, 2024)

Collaborating Foundation Models for Domain Generalized Semantic Segmentation. - Yasser Benigmim; Subhankar Roy; Slim Essid; Vicky Kalogeiton; Stéphane Lathuilière (CVPR, 2024)

Weighted Ensemble Models Are Strong Continual Learners. - Imad Eddine Marouf; Subhankar Roy; Enzo Tartaglione; Stéphane Lathuilière (ECCV (71), 2024)

Democratizing Fine-grained Visual Recognition with Large Language Models. - Mingxuan Liu; Subhankar Roy; Wenjing Li 005; Zhun Zhong; Nicu Sebe; Elisa Ricci 001 (ICLR, 2024)

Large-Scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery. - Mingxuan Liu; Subhankar Roy; Zhun Zhong; Nicu Sebe; Elisa Ricci 001 (ICPR (16), 2024)

Need of Public-Private Healthcare Collaboration for Managing Seasonal Dengue Fever in West Bengal. - Anwesha Nag; Takaaki Goto; Subhankar Roy; Partha Ghosh (SERA, 2024)

One-Shot Unlearning of Personal Identities. - Thomas De Min; Subhankar Roy; Massimiliano Mancini; Stéphane Lathuilière; Elisa Ricci 001 (CoRR, 2024)

Organizing Unstructured Image Collections using Natural Language. - Mingxuan Liu; Zhun Zhong; Jun Li; Gianni Franchi; Subhankar Roy; Elisa Ricci 001 (CoRR, 2024)

Simplifying open-set video domain adaptation with contrastive learning. - Giacomo Zara; Victor Guilherme Turrisi da Costa; Subhankar Roy; Paolo Rota; Elisa Ricci 001 (Comput. Vis. Image Underst., 2024)

SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer. - Partha Ghosh; Subhashis Das; Subhankar Roy; Ankur Bhattacharjee; Agostino Cortesi; Soumya Sen (IEEE Access, 2025)

Unlearning Personal Data from a Single Image. - Thomas De Min; Massimiliano Mancini; Stéphane Lathuilière; Subhankar Roy; Elisa Ricci 001 (Trans. Mach. Learn. Res., 2025)

Group-robust Machine Unlearning. - Thomas De Min; Subhankar Roy; Stéphane Lathuilière; Elisa Ricci 001; Massimiliano Mancini (CoRR, 2025)

FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models. - Mainak Singha; Subhankar Roy; Sarthak Mehrotra; Ankit Jha; Moloud Abdar; Biplab Banerjee; Elisa Ricci 001 (CoRR, 2025)