Subhankar Roy

1.3k total citations
14 papers, 339 citations indexed

About

Subhankar Roy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Subhankar Roy has authored 14 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Subhankar Roy's work include Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Subhankar Roy is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Subhankar Roy collaborates with scholars based in Italy, France and Germany. Subhankar Roy's co-authors include Nicu Sebe, Enver Sangineto, Elisa Ricci, Begüm Demir, Samuel Rota Bulò, Aliaksandr Siarohin, Zhiming Luo, Enrico Fini, Zhun Zhong and Stéphane Lathuilière and has published in prestigious journals such as IEEE Geoscience and Remote Sensing Letters, Computer Vision and Image Understanding and International Journal of Grid and Distributed Computing.

In The Last Decade

Subhankar Roy

14 papers receiving 334 citations

Peers

Countries citing papers authored by Subhankar Roy

Since Specialization

Citations

This map shows the geographic impact of Subhankar Roy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Subhankar Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhankar Roy more than expected).

Fields of papers citing papers by Subhankar Roy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhankar Roy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Subhankar Roy. The network helps show where Subhankar Roy may publish in the future.

Co-authorship network of co-authors of Subhankar Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Subhankar Roy. A scholar is included among the top collaborators of Subhankar Roy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Subhankar Roy. Subhankar Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Collaborating Foundation Models for Domain Generalized Semantic Segmentation 2024 ·SPIRE - Sciences Po Institutional REpository ·(unknown), Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière	9
2	Simplifying open-set video domain adaptation with contrastive learning 2024 ·Computer Vision and Image Understanding ·(unknown), Victor G. Turrisi da Costa, Subhankar Roy, Paolo Rota, Elisa Ricci	2
3	Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation 2023 ·2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ·Yangsong Zhang, Subhankar Roy, Hongtao Lu, Elisa Ricci, Stéphane Lathuilière	7
4	The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation 2023 ·Institutional Research Information System (Università degli Studi di Trento) ·Giacomo Zara, (unknown), Subhankar Roy, Stéphane Lathuilière, Paolo Rota, Elisa Ricci	6
5	AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation 2023 ·Institutional Research Information System (Università degli Studi di Trento) ·Giacomo Zara, Subhankar Roy, Paolo Rota, Elisa Ricci	8
6	Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation 2023 ·Aisberg (University of Bergamo) ·Tianyu Li, Subhankar Roy, Huayi Zhou, Hongtao Lu, Stéphane Lathuilière	8
7	One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models 2023 ·SPIRE - Sciences Po Institutional REpository ·(unknown), Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière	20
8	Neighborhood Contrastive Learning for Novel Class Discovery 2021 ·Institutional Research Information System (Università degli Studi di Trento) ·Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe	74
9	Metric-Learning-Based Deep Hashing Network for Content-Based Retrieval of Remote Sensing Images 2020 ·IEEE Geoscience and Remote Sensing Letters ·Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe	61
10	Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss 2019 ·IRIS UNIMORE (University of Modena and Reggio Emilia) ·Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe, Elisa Ricci	89
11	Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images 2018 ·IRIS UNIMORE (University of Modena and Reggio Emilia) ·Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe	24
12	Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification 2018 ·DepositOnce ·Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe	8
13	Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification 2018 ·Iris Unimore (University of Modena and Reggio Emilia) ·Subhankar Roy, Enver Sangineto, Nicu Sebe, Begüm Demir	22
14	Edge Multilevel Edge Server Co-operation in Content Delivery Network using Hierarchical Classification 2017 ·International Journal of Grid and Distributed Computing ·Debabrata Sarddar, Subhankar Roy, (unknown)	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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