Siyuan Li

PhD student@ETH Zurich

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

Bio

I am a first year PhD student at Computer Vision Laboratory, ETH Zurich, Switzerland. supervised by Prof. Fisher Yu. 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

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

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

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
Deep Depth Inference using Binocular and Monocular Cues

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

Neurocomputing

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

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

preprint

arXiv