About me

I work at Google. I obtained my Ph. D. from the University of Southern California, VGL-ICT. Previously, I was in the Machine Learning Group in the School of Software, Tsinghua University, advised by Professor Mingsheng Long and Dr. Yue Cao. I spent 12 wonderful weeks as a research assistant in Prof. Kilian Q. Weinberger's lab at Cornell University during the summer of 2017, working with Dr. Gao Huang.
I am specifically interested in fast and accurate geometry deep learning, low-level feature learning for 3D vision, differentiable rendering, digital human (face capturing and rendering), etc. I am also a 3D digital artist and a gamer.

Publications

Journals

[pdf] [code] A General Differentiable Mesh Renderer for Image-based 3D Reasoning
Shichen Liu, Tianye Li, Weikai Chen, Hao Li
IEEE Transactions on Pattern Analysis and Machine Intelligence ( TPAMI ) 2020

Conferences

[pdf] Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance
Haiwen Feng, Peter Kulits, Shichen Liu, Michael Black, Victoria Fernandez Abrevaya
IEEE International Conference on Computer Vision ( ICCV ) 2023 , Oral Presentation
[pdf] [project] Rapid Face Asset Acquisition with Recurrent Feature Alignment
Shichen Liu, Yunxuan Cai, Haiwei Chen, Yichao Zhou, Yajie Zhao
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia ( SIGGRAPH Asia ) 2022
[pdf] [code] Exemplar-based Pattern Synthesis with Implicit Periodic Field Network
Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao
IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ) 2022
[pdf] [code] VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers
Shichen Liu, Yichao Zhou, Yajie Zhao
IEEE International Conference on Computer Vision ( ICCV ) 2021
[pdf] [code] [talk] Topologically Consistent Multi-View Face Inference Using Volumetric Sampling
Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao
IEEE International Conference on Computer Vision ( ICCV ) 2021 , Oral Presentation
[pdf] [code] Equivariant Point Network for 3D Point Cloud Analysis
Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li
IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ) 2021
[pdf] [code] NeRD: Neural 3D Reflection Symmetry Detector
Yichao Zhou, Shichen Liu, Yi Ma
IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ) 2021
[pdf] Learning to Infer Implicit Surfaces without 3D Supervision
Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li
Neural Information Processing Systems ( NeurIPS ) 2019
[pdf] [code] [talk] Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Shichen Liu, Tianye Li, Weikai Chen, Hao Li
IEEE International Conference on Computer Vision ( ICCV ) 2019 , Oral Presentation
[pdf] [code] Generalized Zero-Shot Learning with Deep Calibration Network
Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan
Neural Information Processing Systems ( NeurIPS ) 2018
[pdf] [code] [talk] CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang*, Shichen Liu*, Laurens van der Maaten, Kilian Q. Weinberger
IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ) 2018 , Spotlight Presentation
[pdf] [code] Deep Visual-Semantic Quantization for Efficient Image Retrieval
Yue Cao, Mingsheng Long, Shichen Liu, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ) 2017
[pdf] [code] Collective Deep Quantization for Efficient Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Shichen Liu, Jianmin Wang
AAAI Conference on Artificial Intelligence ( AAAI ) 2017

Reviews

CVPR 2021-2023, ICCV 2021, ICML 2023, NeurIPS 2018-2022, Siggraph Asia 2021-2022, Eurographics 2022
TPAMI, TNNLS

Awards

Gaming achievements

Diamond rank in Apex Legends (2%)
Platinum Cup of Monster Hunter World: Iceborne
Platinum Cup of 13 Sentinels: Aegis Rim
Platinum rank in Overwatch
Master rank as Zerg, Diamond rank as Protoss in StarCraft II
Platinum Cup of Monster Hunter: World
Platinum Cup of God of War

Shichen Liu