Siyuan Li

Siyuan Li

PhD student@ETH Zurich

Email: siyuan.li AT vision.ee.ethz.ch

© 2024

 

Bio

I am a second year PhD student at Computer Vision Laboratory, ETH Zurich, Switzerland. supervised by Dr. Martin Danelljan and Prof. Luc Van Gool. I am lucky to have the opportunities to work with Prof. Helge Rhodin at UBC, Prof. Pascal Fua, Prof. Alexandre Alahi at EPFL, and Prof. Jingyi Yu at ShanghaiTech. I'm interested in computer vision, machine learning and their applications on autonomous driving.

Before that, I obtained my B.Sc. in Computer Science at Wuhan University, Wuhan, China and M.Sc. in Computer Science at EPFL, Lausanne, Switzerland

 

 

Working Experience

l  Research Intern,           Disney Research Zurich, Oct. 2020 - Aug. 2021

l  Research Intern,           Tencent AI Lab, Jul. 2020 - Oct. 2020

l  Research Assistant,      Computer Vision Lab, EPFL, Feb. 2019 - Nov. 2019

 

 

Publications

 

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    Cascade-DETR: Delving into High-Quality Universal Object Detection

    Mingqiao Ye*, Lei Ke*, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu

    In International Conference on Computer Vision (ICCV 2023)

    arXiv

    Code
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    OVTrack: Open-Vocabulary Multiple Object Tracking

    Siyuan Li*, Tobias Fischer*, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)

    arXiv

    Code

    Page
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    Tracking Every Thing in the Wild

    Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu

    In European Conference on Computer Vision (ECCV 2022)

    arXiv

    Code

    Page
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    Semantically-aware Discriminator: The Power of a Shared Representation for Image Synthesis

    Saeed Saadatnejad, Siyuan Li, Taylor Mordan, Alexandre Alahi

    IEEE Transactions on Intelligent Transportation Systems (T-ITS 2021)

    arXiv
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    Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals

    Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)

    Paper

    Code
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    Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

    Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu et al (*ShanghaiTech only)

    International Conference on Computer Vision (ICCV 2017) workshop

    arXiv