Kwan-Yee (Jun-Yi) Lin

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I am a Research Fellow at University of Michigan, Ann Arbor, working with Stella Yu. Previously, I was a Postdoctoral Researcher in MMLab at The Chinese University of Hong Kong, working with Xiaogang Wang and Hongsheng Li. I received my PhD in the Department of Information Science, School of Mathematical Sciences at Peking University.

My research interests lie at the intersection of Computer Vision, Computer Graphics, and Machine Learning. I am particularly interested in virtual humans and human-centric 3d scene understanding.

News

Mar, 2024 We are now organizing the first workshop on Virtual Humans for Robotics and Autonomous Driving @CVPR 2024! Welcome submissions! ūüĒ•
Sep, 2023 The part-2 of DNA-Rendering dataset is released.
Sep, 2023 RenderMe-360, a large-scale dataset for high-fidelity head avatar rendering, is accepted by NeuIPS 2023! ūüĒ•
Jul, 2023 6 papers with 1 oral presentations got accepted by CVPR/ICCV 2023.
Sep, 2022 We are starting OpenXDLab, a new large-scale open-source project for datasets of XR research! ūüĒ•
Jul, 2022 3 papers with 1 oral presentations got accepted by CVPR/ECCV 2022.
Mar, 2021 2 papers with 1 oral presentations got accepted by CVPR 2021.
Jul, 2020 2 papers got accepted by CVPR/ECCV in 2020.
Jul, 2020 We released MMDetection3D, OpenMMLab’s Next-Generation Platform for 3D Object Detection.
Jul, 2019 3 papers with 2 oral presentations got accepted by CVPR/ICCV in 2019.

Selected Publications

  1. CosmicMan: A Text-to-Image Foundation Model for Humans
    Shikai Li, Jianglin Fu, Kaiyuan Liu, Wentao Wang,  Kwan-Yee Lin †, and Wayne Wu
    Computer Vision and Pattern Recognition (CVPR), 2024
  2. RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
    Dongwei Pan,  etal., and Kwan-Yee Lin
    Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks, 2023
  3. DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
    Wei Cheng,  etal., and Kwan-Yee Lin
    International Conference on Computer Vision (ICCV), 2023
  4. Simulating Fluids in Real-World Still Images
    Siming Fan, Jingtan Piao, Chen Qian, Hongsheng Li, and Kwan-Yee Lin
    International Conference on Computer Vision (ICCV), 2023 (Oral)
  5. Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis
    Wei Cheng, Su Xu, Jingtan Piao, Chen Qian, Wayne Wu,  Kwan-Yee Lin †, and Hongsheng Li
    Technical report, arXiv:2204.11798, 2022
  6. StyleGAN-Human: A Data-Centric Odyssey of Human Generation
    Jianglin Fu, Shikai Li, Yuming Jiang,  Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, and Ziwei Liu
    European Conference on Computer Vision (ECCV), 2022
  7. Semantic Scene Completion via Integrating Instances and Scene in-the-Loop
    Yingjie Cai, Xuesong Chen, Chao Zhang,  Kwan-Yee Lin †, Xiaogang Wang, and Hongsheng Li
    Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  8. 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
    Xiaokang Chen,  Kwan-Yee Lin, Chen Qian, Gang Zeng, and Hongsheng Li
    Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  9. Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation
    Kwan-Yee Lin, Xipeng Chen, Wentao Liu, Chen Qian, and Liang Lin
    Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
  10. Hallucinated-IQA: No-reference Image Quality Assessment via Adversarial Learning
    Kwan-Yee Lin, and Guanxiang Wang
    Conference on Computer Vision and Pattern Recognition (CVPR), 2018