Shaofei Wang

I am a PhD student at ETH Zurich , co-advised by Prof. Siyu Tang and Prof. Andreas Geiger. My research topic is computer vision, specifically in building controllable neural implicit representations for human bodies with clothes. I am also interested in differentiable combinatorial optimization and its application in computer vision. Before I came to ETH, I worked as a researcher in Kording Lab at University of Pennsylvania. Even before that, I worked as a senior system engineer at the autonomous driving group of Baidu. I got my Master's degree from University of California, Irvine under supervision of Prof. Charless Fowlkes

ARAH: Animatable Volume Rendering of Articulated Human SDFs
European Conference on Computer Vision (ECCV), 2022
European Conference on Computer Vision (ECCV), 2022
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Neural Information Process Systems (NeurIPS), 2021
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration
Computer Vision and Pattern Recognition (CVPR), 2021
Shaofei Wang, Andreas Geiger, Siyu Tang
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
AAAI Conference on Artificial Intelligence (AAAI), 2020
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-person Pose Estimation
European Conference on Computer Vision (ECCV), 2018
Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions
International Journal of Computer Vision (IJCV), 2017
Shaofei Wang, Charless C. Fowlkes
Tracking Objects with Higher Order Interactions via Delayed Column Generation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
Learning Optimal Parameters For Multi-target Tracking
British Machine Vision Conference (BMVC), 2015
Shaofei Wang, Charless C. Fowlkes