Siyuan Li

Siyuan Li

PhD student@ETH Zurich

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

© 2024

 

Bio

I am a 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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    Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking

    Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool

    Arxiv ( 2024 )

    Paper

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    SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking

    Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segu, Martin Danelljan, Luc Van Gool

    European Conference on Computer Vision (ECCV 2024 )

    arXiv

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    Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs

    Mattia Segu, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele

    European Conference on Computer Vision (ECCV 2024 )

    Paper

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    Matching Anything By Segmenting Anything

    Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segu, Luc Van Gool, Fisher Yu

    In Conference on Computer Vision and Pattern Recognition (CVPR 2024 Highlight)

    arXiv

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    UniDepth: Universal Monocular Metric Depth Estimation

    Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, Fisher Yu

    In Conference on Computer Vision and Pattern Recognition (CVPR 2024 Highlight)

    arXiv

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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

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    OVTrack: Open-Vocabulary Multiple Object Tracking

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

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

    arXiv

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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

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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 Conference on Computer Vision and Pattern Recognition (CVPR 2020)

    Paper

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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