Shichen Liu

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 34

Top Topics

Multi View Semi Supervised Learning

Diffusion Model

Top Venues

Publications

Zhen Wang, Qiangeng Xu, Feitong Tan, Menglei Chai, Shichen Liu, Rohit Pandey, Sean Fanello, Achuta Kadambi, Yinda Zhang
MVDD: Multi-View Depth Diffusion Models. CoRR (2023)
Haiwen Feng, Peter Kulits, Shichen Liu, Michael J. Black, Victoria Fernández Abrevaya
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance. CoRR (2023)
Haiwen Feng, Peter Kulits, Shichen Liu, Michael J. Black, Victoria Fernández Abrevaya
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance. ICCV (2023)
Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network. CVPR (2022)
Shichen Liu, Yunxuan Cai, Haiwei Chen, Yichao Zhou, Yajie Zhao
Rapid Face Asset Acquisition with Recurrent Feature Alignment. ACM Trans. Graph. 41 (6) (2022)
Shichen Liu, Tianye Li, Weikai Chen, Hao Li
A General Differentiable Mesh Renderer for Image-Based 3D Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network. CoRR (2022)
Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao
Topologically Consistent Multi-View Face Inference Using Volumetric Sampling. ICCV (2021)
Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li, Randall Hill
Equivariant Point Network for 3D Point Cloud Analysis. CVPR (2021)
Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li
Equivariant Point Network for 3D Point Cloud Analysis. CoRR (2021)
Yichao Zhou, Shichen Liu, Yi Ma
NeRD: Neural 3D Reflection Symmetry Detector. CoRR (2021)
Shichen Liu, Yichao Zhou, Yajie Zhao
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers. ICCV (2021)
Yichao Zhou, Shichen Liu, Yi Ma
NeRD: Neural 3D Reflection Symmetry Detector. CVPR (2021)
Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao
Topologically Consistent Multi-View Face Inference Using Volumetric Sampling. CoRR (2021)
Yichao Zhou, Shichen Liu, Yi Ma
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction. CoRR (2020)
Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li
Learning to Infer Implicit Surfaces without 3D Supervision. CoRR (2019)
Yane Li, Ming Fan, Shichen Liu, Bin Zheng, Lihua Li
Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography. J. Medical Imaging Health Informatics 9 (8) (2019)
Shichen Liu, Weikai Chen, Tianye Li, Hao Li
Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning. ICCV (2019)
Shichen Liu, Weikai Chen, Tianye Li, Hao Li
Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction. CoRR (2019)
Shichen Liu, Tianye Li, Weikai Chen, Hao Li
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning. CoRR (2019)
Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li
Learning to Infer Implicit Surfaces without 3D Supervision. NeurIPS (2019)
Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. CVPR (2018)
Yu Gong, Xusheng Luo, Kenny Q. Zhu, Shichen Liu, Wenwu Ou
Automatic Generation of Chinese Short Product Titles for Mobile Display. CoRR (2018)
Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. CoRR (2018)
Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan
Generalized Zero-Shot Learning with Deep Calibration Network. NeurIPS (2018)
Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou
JUMP: a Jointly Predictor for User Click and Dwell Time. IJCAI (2018)
Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. CoRR (2018)
Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. KDD (2018)
Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. WWW (2018)
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
Deep Visual-Semantic Quantization for Efficient Image Retrieval. CVPR (2017)
Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si
Cascade Ranking for Operational E-commerce Search. CoRR (2017)
Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger
CondenseNet: An Efficient DenseNet using Learned Group Convolutions. CoRR (2017)
Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si
Cascade Ranking for Operational E-commerce Search. KDD (2017)
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
Collective Deep Quantization for Efficient Cross-Modal Retrieval. AAAI (2017)
Shichen Liu, Yan Xiong, Qiwei Lu, Wenchao Huang
Replicator Dynamic Inspired Differential Evolution Algorithm for Global Optimization. IJCCI (2012)