Kwan-Yee Lin

1.7k total citations
18 papers, 598 citations indexed

About

Kwan-Yee Lin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Kwan-Yee Lin has authored 18 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Kwan-Yee Lin's work include Advanced Vision and Imaging (8 papers), Human Pose and Action Recognition (7 papers) and Computer Graphics and Visualization Techniques (7 papers). Kwan-Yee Lin is often cited by papers focused on Advanced Vision and Imaging (8 papers), Human Pose and Action Recognition (7 papers) and Computer Graphics and Visualization Techniques (7 papers). Kwan-Yee Lin collaborates with scholars based in China, Hong Kong and United States. Kwan-Yee Lin's co-authors include Guanxiang Wang, Hongsheng Li, Xiaogang Wang, Chen Qian, Qian Chen, Wentao Liu, Liang Lin, Xiaokang Chen, Gang Zeng and Xipeng Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and The HKU Scholars Hub (University of Hong Kong).

In The Last Decade

Kwan-Yee Lin

18 papers receiving 584 citations

Peers

Kwan-Yee Lin
Ignas Budvytis United Kingdom
Nianjuan Jiang Singapore
J. Starck United Kingdom
S. Vedula United States
Songfang Han United States
Zizhao Wu China
Kwan-Yee Lin
Citations per year, relative to Kwan-Yee Lin Kwan-Yee Lin (= 1×) peers Jean-Sébastien Franco

Countries citing papers authored by Kwan-Yee Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kwan-Yee Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwan-Yee Lin. 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 Kwan-Yee Lin. The network helps show where Kwan-Yee Lin may publish in the future.

Co-authorship network of co-authors of Kwan-Yee Lin

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

All Works

18 of 18 papers shown
1.
Li, Shikai, et al.. (2024). CosmicMan: A Text-to-Image Foundation Model for Humans. 6955–6965. 1 indexed citations
2.
Xu, Yan, et al.. (2024). RNNPose: 6-DoF Object Pose Estimation via Recurrent Correspondence Field Estimation and Pose Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4669–4683. 11 indexed citations
3.
Jiang, Yuming, et al.. (2023). UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation. 7267–7277. 6 indexed citations
4.
Cheng, Wei, Keyu Chen, Zhongang Cai, et al.. (2023). DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering. The HKU Scholars Hub (University of Hong Kong). 19925–19936. 25 indexed citations
6.
Lü, Fan, et al.. (2023). Urban Radiance Field Representation with Deformable Neural Mesh Primitives. 465–476. 19 indexed citations
7.
Chen, Qian, et al.. (2023). Simulating Fluids in Real-World Still Images. 15876–15885. 6 indexed citations
8.
Cheng, Wei, et al.. (2023). MonoHuman: Animatable Human Neural Field from Monocular Video. 16943–16953. 32 indexed citations
9.
Cai, Yingjie, Kwan-Yee Lin, Chao Zhang, et al.. (2022). Learning a Structured Latent Space for Unsupervised Point Cloud Completion. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5533–5543. 36 indexed citations
10.
Xu, Yan, Kwan-Yee Lin, Guofeng Zhang, Xiaogang Wang, & Hongsheng Li. (2022). RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14860–14870. 49 indexed citations
11.
Cai, Yingjie, Xuesong Chen, Chao Zhang, et al.. (2021). Semantic Scene Completion via Integrating Instances and Scene in-the-Loop. 324–333. 43 indexed citations
12.
Sun, Keqiang, et al.. (2021). Inverting Generative Adversarial Renderer for Face Reconstruction. 15614–15623. 14 indexed citations
13.
Chen, Xiaokang, Kwan-Yee Lin, Qian Chen, Gang Zeng, & Hongsheng Li. (2020). 3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior. 4192–4201. 77 indexed citations
14.
Chen, Xipeng, Kwan-Yee Lin, Wentao Liu, Chen Qian, & Liang Lin. (2019). Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. 10887–10896. 73 indexed citations
15.
Qian, Shengju, Kwan-Yee Lin, Wayne Wu, et al.. (2019). Make a Face: Towards Arbitrary High Fidelity Face Manipulation. 10032–10041. 32 indexed citations
16.
Duan, Haodong, Kwan-Yee Lin, Sheng Jin, et al.. (2019). TRB: A Novel Triplet Representation for Understanding 2D Human Body. 9478–9487. 11 indexed citations
17.
Lin, Kwan-Yee & Guanxiang Wang. (2018). Self-supervised Deep Multiple Choice Learning Network for Blind Image Quality Assessment.. British Machine Vision Conference. 70. 2 indexed citations
18.
Lin, Kwan-Yee & Guanxiang Wang. (2018). Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning. 732–741. 157 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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