Siyuan Li

Siyuan Li

CS student@EPFL

Email: siyuan.li AT epfl.ch

© 2020

 

Bio

I am a second-year master student at EPFL, Lausanne, Switzerland. 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 application on AR/VR.

Before that, I obtained my B.Sc. from Computer Science at Wuhan University, Wuhan, China.

 

News

l  Feb 27 2020: Paper on Deformation-aware Unpaired Image Translation for Pose Estimation is accepted to CVPR'20

 

Working Experience

l  Research Intern,           Disney Research Zurich, Oct. 2020 - now

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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    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)

    arXiv

    Code
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    Deep Depth Inference using Binocular and Monocular Cues

    Xinqing Guo, Zhang Chen, Siyuan Li, Yang Yang, Jingyi Yu

    Neurocomputing

    arXiv
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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
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    A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching

    Xinqing Guo, Zhang Chen, Siyuan Li, Yang Yang, Jingyi Yu

    preprint

    arXiv