Vibashan VS

831 total citations · 1 hit paper
16 papers, 432 citations indexed

About

Vibashan VS is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vibashan VS has authored 16 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vibashan VS's work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (4 papers). Vibashan VS is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (4 papers). Vibashan VS collaborates with scholars based in United States, India and Singapore. Vibashan VS's co-authors include Vishal M. Patel, Poojan Oza, Vishwanath A. Sindagi, Jeya Maria Jose Valanarasu, Mobarakol Islam, Hongliang Ren, Chwee Ming Lim, Shuowen Hu, Bardia Safaei and Celso M. de Melo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and Medical & Biological Engineering & Computing.

In The Last Decade

Vibashan VS

13 papers receiving 420 citations

Hit Papers

Unsupervised Domain Adaptation of Object Detectors: A Survey 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Unsupervised Domain Adaptation of Object Detectors: A Survey
    2023 130 citations Poojan Oza, Vishwanath A. Sindagi et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vibashan VS United States 9 241 154 152 79 33 16 432
Poojan Oza United States 8 209 0.9× 152 1.0× 151 1.0× 64 0.8× 28 0.8× 9 389
Namil Kim South Korea 7 436 1.8× 146 0.9× 113 0.7× 161 2.0× 20 0.6× 14 578
Yousong Zhu China 8 400 1.7× 111 0.7× 170 1.1× 33 0.4× 30 0.9× 17 535
Shangzhen Luan China 4 229 1.0× 75 0.5× 70 0.5× 38 0.5× 24 0.7× 5 349
Jianhui Wu China 9 167 0.7× 277 1.8× 72 0.5× 41 0.5× 37 1.1× 25 449
Jin Yuan China 7 157 0.7× 50 0.3× 117 0.8× 32 0.4× 42 1.3× 10 374
Tao Gong China 7 253 1.0× 53 0.3× 157 1.0× 77 1.0× 16 0.5× 18 446
Menghua Zheng China 7 308 1.3× 158 1.0× 66 0.4× 22 0.3× 39 1.2× 8 444
Jing Nie China 11 331 1.4× 110 0.7× 69 0.5× 79 1.0× 28 0.8× 35 413
Haiyun Guo China 12 548 2.3× 110 0.7× 84 0.6× 37 0.5× 70 2.1× 25 658

Countries citing papers authored by Vibashan VS

Since Specialization
Citations

This map shows the geographic impact of Vibashan VS'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 Vibashan VS with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vibashan VS more than expected).

Fields of papers citing papers by Vibashan VS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vibashan VS. 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 Vibashan VS. The network helps show where Vibashan VS may publish in the future.

Co-authorship network of co-authors of Vibashan VS

This figure shows the co-authorship network connecting the top 25 collaborators of Vibashan VS. A scholar is included among the top collaborators of Vibashan VS 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 Vibashan VS. Vibashan VS is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
2.
Narayan, Kartik, Vibashan VS, & Vishal M. Patel. (2025). SegFace: Face Segmentation of Long-Tail Classes. Proceedings of the AAAI Conference on Artificial Intelligence. 39(6). 6182–6190.
3.
Safaei, Bardia, Vibashan VS, & Vishal M. Patel. (2025). Certainty and Uncertainty Guided Active Domain Adaptation. 2342–2347.
4.
Safaei, Bardia, Vibashan VS, Celso M. de Melo, & Vishal M. Patel. (2024). Entropic Open-Set Active Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4686–4694. 8 indexed citations
5.
Shah, Nisarg A., Vibashan VS, & Vishal M. Patel. (2024). LQMFormer: Language-Aware Query Mask Transformer for Referring Image Segmentation. 12903–12913. 5 indexed citations
6.
Oza, Poojan, Vishwanath A. Sindagi, Vibashan VS, & Vishal M. Patel. (2023). Unsupervised Domain Adaptation of Object Detectors: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4018–4040. 130 indexed citations breakdown →
7.
VS, Vibashan, Poojan Oza, & Vishal M. Patel. (2023). Towards Online Domain Adaptive Object Detection. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 478–488. 25 indexed citations
8.
Safaei, Bardia, Vibashan VS, Celso M. de Melo, Shuowen Hu, & Vishal M. Patel. (2023). Open-Set Automatic Target Recognition. 1–5. 7 indexed citations
9.
VS, Vibashan, Poojan Oza, & Vishal M. Patel. (2023). Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection. 3520–3530. 52 indexed citations
10.
VS, Vibashan, Ning Yu, Xing Chen, et al.. (2023). Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. 23539–23549. 9 indexed citations
11.
VS, Vibashan, Jeya Maria Jose Valanarasu, Poojan Oza, & Vishal M. Patel. (2022). Image Fusion Transformer. 2022 IEEE International Conference on Image Processing (ICIP). 3566–3570. 129 indexed citations
12.
VS, Vibashan, et al.. (2022). Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3697–3706. 23 indexed citations
13.
VS, Vibashan, Poojan Oza, Vishwanath A. Sindagi, & Vishal M. Patel. (2022). Mixture of Teacher Experts for Source-Free Domain Adaptive Object Detection. 2022 IEEE International Conference on Image Processing (ICIP). 3606–3610. 7 indexed citations
14.
Periyasamy, R., et al.. (2021). Machine Learning Techniques for the Diagnosis of Attention-Deficit/Hyperactivity Disorder from Magnetic Resonance Imaging. Neurology India. 69(6). 1518–1523. 8 indexed citations
15.
Islam, Mobarakol, Vibashan VS, Angela An Qi See, et al.. (2021). Identifying risk factors of intracerebral hemorrhage stability using explainable attention model. Medical & Biological Engineering & Computing. 60(2). 337–348. 5 indexed citations
16.
Islam, Mobarakol, Vibashan VS, Chwee Ming Lim, & Hongliang Ren. (2020). ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery. Medical Image Analysis. 67. 101837–101837. 24 indexed citations

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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