Jae Shin Yoon

777 total citations
16 papers, 424 citations indexed

About

Jae Shin Yoon is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Jae Shin Yoon has authored 16 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 2 papers in Automotive Engineering. Recurrent topics in Jae Shin Yoon's work include Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (6 papers) and Advanced Vision and Imaging (5 papers). Jae Shin Yoon is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (6 papers) and Advanced Vision and Imaging (5 papers). Jae Shin Yoon collaborates with scholars based in United States, South Korea and Canada. Jae Shin Yoon's co-authors include In So Kweon, Yukyung Choi, Soonmin Hwang, Kibaek Park, Kyounghwan An, Namil Kim, Hyun Soo Park, Jaesik Park, P. Venkatesh and Jihun Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jae Shin Yoon

14 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Shin Yoon United States 8 330 119 78 47 44 16 424
Rui Qian China 6 442 1.3× 187 1.6× 90 1.2× 52 1.1× 58 1.3× 14 561
Inwook Shim South Korea 10 187 0.6× 115 1.0× 56 0.7× 23 0.5× 23 0.5× 29 301
Zehui Chen China 9 370 1.1× 132 1.1× 29 0.4× 86 1.8× 35 0.8× 29 497
Zizhang Wu China 9 341 1.0× 184 1.5× 61 0.8× 47 1.0× 13 0.3× 27 424
Ondřej Mikšík United Kingdom 9 421 1.3× 253 2.1× 44 0.6× 44 0.9× 26 0.6× 15 488
Hassan Abu Alhaija Germany 5 375 1.1× 82 0.7× 41 0.5× 34 0.7× 26 0.6× 7 445
Jianhui Liu China 6 300 0.9× 134 1.1× 37 0.5× 19 0.4× 71 1.6× 18 424
Daiyi Peng United States 3 238 0.7× 129 1.1× 42 0.5× 17 0.4× 27 0.6× 5 322
Qingqiu Huang China 4 480 1.5× 225 1.9× 62 0.8× 25 0.5× 41 0.9× 6 612
Siva Karthik Mustikovela Germany 5 341 1.0× 79 0.7× 39 0.5× 35 0.7× 21 0.5× 8 409

Countries citing papers authored by Jae Shin Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Jae Shin Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Shin Yoon. 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 Jae Shin Yoon. The network helps show where Jae Shin Yoon may publish in the future.

Co-authorship network of co-authors of Jae Shin Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Shin Yoon. A scholar is included among the top collaborators of Jae Shin Yoon 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 Jae Shin Yoon. Jae Shin Yoon 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.
Singh, K.K., He Zhang, Yannick Hold-Geoffroy, et al.. (2025). Text2Relight: Creative Portrait Relighting with Text Guidance. Proceedings of the AAAI Conference on Artificial Intelligence. 39(2). 1980–1988.
2.
Yoon, Jae Shin, et al.. (2024). Generative Portrait Shadow Removal. ACM Transactions on Graphics. 43(6). 1–13.
3.
Ceylan, Duygu, Jae Shin Yoon, Nanxuan Zhao, et al.. (2024). IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models. 1–11. 2 indexed citations
4.
Yoon, Jae Shin, et al.. (2024). Text2HOI: Text-Guided 3D Motion Generation for Hand-Object Interaction. 1577–1585. 5 indexed citations
5.
Xiong, Wei, et al.. (2024). Relightful Harmonization: Lighting-Aware Portrait Background Replacement. 6452–6462. 7 indexed citations
6.
Wang, Junying, et al.. (2023). Complete 3D Human Reconstruction from a Single Incomplete Image. 8748–8758. 6 indexed citations
7.
Yoon, Jae Shin, Duygu Ceylan, Jingwan Lu, et al.. (2022). Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3397–3407. 7 indexed citations
8.
Yoon, Jae Shin, et al.. (2021). HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(1). 623–640. 8 indexed citations
9.
Yoon, Jae Shin, In Kyu Lee, P. Venkatesh, et al.. (2020). HUMBI: A Large Multiview Dataset of Human Body Expressions. 2987–2997. 58 indexed citations
10.
Yoon, Jae Shin, Takaaki Shiratori, Shoou-I Yu, & Hyun Soo Park. (2019). Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking. 4596–4604. 19 indexed citations
11.
Choi, Yukyung, Namil Kim, Soonmin Hwang, et al.. (2018). KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving. IEEE Transactions on Intelligent Transportation Systems. 19(3). 934–948. 246 indexed citations
12.
Yoon, Jae Shin, et al.. (2018). HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset.. arXiv (Cornell University). 4 indexed citations
14.
Yoon, Jae Shin, Kibaek Park, Soonmin Hwang, et al.. (2016). Thermal-infrared based drivable region detection. 978–985. 12 indexed citations
15.
Kim, Nam Il, Yukyung Choi, Soonmin Hwang, et al.. (2015). Geometrical calibration of multispectral calibration. 14 indexed citations
16.
Hwang, Soonmin, Yukyung Choi, Nam Il Kim, et al.. (2015). Low-Cost Synchronization for Multispectral Cameras. 435–436. 5 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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