Ayan Kumar Bhunia

1.9k total citations · 1 hit paper
30 papers, 970 citations indexed

About

Ayan Kumar Bhunia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ayan Kumar Bhunia has authored 30 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Ayan Kumar Bhunia's work include Advanced Image and Video Retrieval Techniques (19 papers), Multimodal Machine Learning Applications (14 papers) and Image Retrieval and Classification Techniques (8 papers). Ayan Kumar Bhunia is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Multimodal Machine Learning Applications (14 papers) and Image Retrieval and Classification Techniques (8 papers). Ayan Kumar Bhunia collaborates with scholars based in United Kingdom and China. Ayan Kumar Bhunia's co-authors include Yi-Zhe Song, Tao Xiang, Aneeshan Sain, Pinaki Nath Chowdhury, Yongxin Yang, Subhadeep Koley, Jun Guo, Yifeng Ding, Jiyang Xie and Zhanyu Ma and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Ayan Kumar Bhunia

29 papers receiving 948 citations

Hit Papers

The Devil is in the Channels: Mutual-Channel Loss for Fin... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayan Kumar Bhunia United Kingdom 17 787 293 63 55 53 30 970
Aneeshan Sain United Kingdom 16 566 0.7× 181 0.6× 50 0.8× 41 0.7× 58 1.1× 38 688
Pinaki Nath Chowdhury United Kingdom 15 474 0.6× 127 0.4× 57 0.9× 57 1.0× 35 0.7× 36 605
Weicheng Xie China 13 382 0.5× 182 0.6× 65 1.0× 21 0.4× 30 0.6× 53 663
Yunyang Xiong United States 8 249 0.3× 128 0.4× 48 0.8× 22 0.4× 40 0.8× 16 479
Duanqing Xu China 10 582 0.7× 180 0.6× 45 0.7× 81 1.5× 30 0.6× 41 720
Pengfei Xu China 13 311 0.4× 73 0.2× 118 1.9× 97 1.8× 97 1.8× 41 513
Shafin Rahman Bangladesh 12 398 0.5× 267 0.9× 57 0.9× 10 0.2× 33 0.6× 58 584
Holger Caesar Netherlands 7 772 1.0× 324 1.1× 40 0.6× 49 0.9× 46 0.9× 19 948
Shuai Zheng United Kingdom 11 716 0.9× 117 0.4× 14 0.2× 17 0.3× 64 1.2× 19 867

Countries citing papers authored by Ayan Kumar Bhunia

Since Specialization
Citations

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

Fields of papers citing papers by Ayan Kumar Bhunia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ayan Kumar Bhunia. 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 Ayan Kumar Bhunia. The network helps show where Ayan Kumar Bhunia may publish in the future.

Co-authorship network of co-authors of Ayan Kumar Bhunia

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

All Works

20 of 20 papers shown
1.
Koley, Subhadeep, Tapas Kumar Dutta, Aneeshan Sain, et al.. (2025). SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models. 2556–2567.
2.
Koley, Subhadeep, Ayan Kumar Bhunia, Aneeshan Sain, et al.. (2024). How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?. 16859–16869. 12 indexed citations
3.
Koley, Subhadeep, Ayan Kumar Bhunia, Aneeshan Sain, et al.. (2024). You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval. 16509–16519. 11 indexed citations
4.
Koley, Subhadeep, Ayan Kumar Bhunia, Aneeshan Sain, et al.. (2024). Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers. 16826–16837. 7 indexed citations
5.
Bhunia, Ayan Kumar, et al.. (2024). DemoCaricature: Democratising Caricature Generation with a Rough Sketch. 8629–8639. 4 indexed citations
6.
Chowdhury, Pinaki Nath, Ayan Kumar Bhunia, Aneeshan Sain, et al.. (2023). SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text. 10972–10983. 14 indexed citations
7.
Koley, Subhadeep, Ayan Kumar Bhunia, Aneeshan Sain, et al.. (2023). Picture that Sketch: Photorealistic Image Generation from Abstract Sketches. 6850–6861. 37 indexed citations
8.
Bhunia, Ayan Kumar, et al.. (2023). Data-Free Sketch-Based Image Retrieval. 12084–12093. 10 indexed citations
9.
Sain, Aneeshan, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, et al.. (2023). CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not. 2765–2775. 69 indexed citations
10.
Chowdhury, Pinaki Nath, Ayan Kumar Bhunia, Aneeshan Sain, et al.. (2023). What Can Human Sketches Do for Object Detection?. 15083–15094. 28 indexed citations
11.
Sain, Aneeshan, Ayan Kumar Bhunia, Subhadeep Koley, et al.. (2023). Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR. 6873–6883. 17 indexed citations
12.
Bhunia, Ayan Kumar, Subhadeep Koley, Aneeshan Sain, et al.. (2022). Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 989–998. 41 indexed citations
13.
Sain, Aneeshan, et al.. (2022). Sketch3T: Test-Time Training for Zero-Shot SBIR. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7452–7461. 35 indexed citations
14.
Bhunia, Ayan Kumar, Aneeshan Sain, Pinaki Nath Chowdhury, & Yi-Zhe Song. (2021). Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 963–972. 19 indexed citations
15.
Sain, Aneeshan, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, & Yi-Zhe Song. (2021). StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. 8500–8509. 73 indexed citations
16.
Bhunia, Ayan Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, et al.. (2021). More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. 4245–4254. 45 indexed citations
17.
Bhunia, Ayan Kumar, Pinaki Nath Chowdhury, Yongxin Yang, et al.. (2021). Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. Edinburgh Research Explorer (University of Edinburgh). 5668–5677. 40 indexed citations
18.
Bhunia, Ayan Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, & Yi-Zhe Song. (2021). Towards the Unseen: Iterative Text Recognition by Distilling from Errors. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14930–14939. 15 indexed citations
19.
Bhunia, Ayan Kumar, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, & Yi-Zhe Song. (2020). Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. Edinburgh Research Explorer. 9776–9785. 80 indexed citations
20.
Bhunia, Ayan Kumar, Ayan Das, Yongxin Yang, et al.. (2020). Pixelor. ACM Transactions on Graphics. 39(6). 1–15. 21 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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