Yunbin Tu

919 total citations · 1 hit paper
19 papers, 624 citations indexed

About

Yunbin Tu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Yunbin Tu has authored 19 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Language and Linguistics. Recurrent topics in Yunbin Tu's work include Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Video Analysis and Summarization (9 papers). Yunbin Tu is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Video Analysis and Summarization (9 papers). Yunbin Tu collaborates with scholars based in China. Yunbin Tu's co-authors include Chenggang Yan, Qionghai Dai, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, Shengxiang Gao, Qingming Huang, Zhengtao Yu and Liang Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Yunbin Tu

18 papers receiving 621 citations

Hit Papers

STAT: Spatial-Temporal Attention Mechanism for Video Capt... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunbin Tu China 12 532 151 32 26 22 19 624
Liqi Yan China 8 394 0.7× 111 0.7× 51 1.6× 21 0.8× 12 0.5× 18 482
Yuheng Li United States 6 502 0.9× 266 1.8× 24 0.8× 37 1.4× 34 1.5× 11 772
Mohammad Faidzul Nasrudin Malaysia 12 244 0.5× 133 0.9× 61 1.9× 11 0.4× 19 0.9× 60 426
Rinon Gal Israel 11 672 1.3× 137 0.9× 33 1.0× 51 2.0× 44 2.0× 20 817
Sungeun Hong South Korea 12 347 0.7× 185 1.2× 32 1.0× 69 2.7× 14 0.6× 34 475
Omri Avrahami Israel 6 548 1.0× 121 0.8× 31 1.0× 41 1.6× 26 1.2× 9 694
Jiemin Fang China 11 391 0.7× 146 1.0× 28 0.9× 12 0.5× 24 1.1× 20 531
Duanqing Xu China 10 582 1.1× 180 1.2× 30 0.9× 67 2.6× 22 1.0× 41 720
Kevin Lin Taiwan 6 599 1.1× 121 0.8× 43 1.3× 16 0.6× 9 0.4× 12 655

Countries citing papers authored by Yunbin Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yunbin Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunbin Tu

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

All Works

19 of 19 papers shown
1.
Lin, Weijun, et al.. (2025). Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video. Proceedings of the AAAI Conference on Artificial Intelligence. 39(5). 4923–4931. 1 indexed citations
2.
Tu, Yunbin, et al.. (2025). Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 7464–7472.
3.
Tu, Yunbin, et al.. (2024). SMART: Syntax-Calibrated Multi-Aspect Relation Transformer for Change Captioning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4926–4943. 20 indexed citations
4.
Tu, Yunbin, et al.. (2024). Multi-Grained Representation Aggregating Transformer with Gating Cycle for Change Captioning. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–23. 1 indexed citations
5.
Tu, Yunbin, et al.. (2024). Context-aware Difference Distilling for Multi-change Captioning. 7941–7956. 3 indexed citations
6.
Tu, Yunbin, et al.. (2024). MAGIC: Rethinking Dynamic Convolution Design for Medical Image Segmentation. 9106–9115. 3 indexed citations
7.
Tu, Yunbin, et al.. (2023). Viewpoint-Adaptive Representation Disentanglement Network for Change Captioning. IEEE Transactions on Image Processing. 32. 2620–2635. 16 indexed citations
8.
Tu, Yunbin, et al.. (2023). Neighborhood Contrastive Transformer for Change Captioning. IEEE Transactions on Multimedia. 25. 9518–9529. 9 indexed citations
9.
Tu, Yunbin, et al.. (2023). I3N: Intra- and Inter-Representation Interaction Network for Change Captioning. IEEE Transactions on Multimedia. 25. 8828–8841. 15 indexed citations
10.
Tu, Yunbin, et al.. (2023). Self-supervised Cross-view Representation Reconstruction for Change Captioning. 2793–2803. 15 indexed citations
11.
Li, Liang, et al.. (2022). Long Short-Term Relation Transformer With Global Gating for Video Captioning. IEEE Transactions on Image Processing. 31. 2726–2738. 64 indexed citations
12.
Tu, Yunbin, et al.. (2022). Relation-aware attention for video captioning via graph learning. Pattern Recognition. 136. 109204–109204. 24 indexed citations
13.
Liu, Zhenhuan, et al.. (2022). LS-GAN: Iterative Language-based Image Manipulation via Long and Short Term Consistency Reasoning. Proceedings of the 30th ACM International Conference on Multimedia. 4496–4504. 6 indexed citations
14.
Tu, Yunbin, Liang Li, Chenggang Yan, Shengxiang Gao, & Zhengtao Yu. (2021). Rˆ3Net:Relation-embedded Representation Reconstruction Network for Change Captioning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9319–9329. 16 indexed citations
15.
Tu, Yunbin, et al.. (2021). Semantic Relation-aware Difference Representation Learning for Change Captioning. 63–73. 23 indexed citations
16.
Tu, Yunbin, Chang Zhou, Junjun Guo, Shengxiang Gao, & Zhengtao Yu. (2020). Enhancing the alignment between target words and corresponding frames for video captioning. Pattern Recognition. 111. 107702–107702. 49 indexed citations
17.
Yan, Chenggang, Yunbin Tu, Xingzheng Wang, et al.. (2020). Corrections to “STAT: Spatial-Temporal Attention Mechanism for Video Captioning”. IEEE Transactions on Multimedia. 22(3). 830–830. 12 indexed citations
18.
Yan, Chenggang, Yunbin Tu, Xingzheng Wang, et al.. (2019). STAT: Spatial-Temporal Attention Mechanism for Video Captioning. IEEE Transactions on Multimedia. 22(1). 229–241. 304 indexed citations breakdown →
19.
Tu, Yunbin, Xishan Zhang, Bingtao Liu, & Chenggang Yan. (2017). Video Description with Spatial-Temporal Attention. 1014–1022. 43 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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