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Journal Articles
- 2025
[j4]Shanhui Fan
, Shangguang Wei, Kaihua Wei, Shichen Liu, Yihong Fan, Bin Lv, Lihua Li:
A novel automatic locating method for pylorus and ileocecal valve in wireless capsule endoscopy. Biomed. Signal Process. Control. 100: 106969 (2025)- 2022
- [j3]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): 50-62 (2022) - [j2]Shichen Liu, Yunxuan Cai, Haiwei Chen, Yichao Zhou, Yajie Zhao:
Rapid Face Asset Acquisition with Recurrent Feature Alignment. ACM Trans. Graph. 41(6): 214:1-214:17 (2022) - 2019
- [j1]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): 1663-1672 (2019)
Conference and Workshop Papers
- 2024
- [c19]Ziqian Bai, Feitong Tan, Sean Fanello, Rohit Pandey, Mingsong Dou, Shichen Liu, Ping Tan, Yinda Zhang:
Efficient 3D Implicit Head Avatar With Mesh-Anchored Hash Table Blendshapes. CVPR 2024: 1975-1984 - [c18]Zhen Wang, Qiangeng Xu, Feitong Tan, Menglei Chai, Shichen Liu, Rohit Pandey, Sean Fanello, Achuta Kadambi, Yinda Zhang:
MVDD: Multi-view Depth Diffusion Models. ECCV (13) 2024: 236-253 - 2023
- [c17]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: 7943-7954 - 2022
- [c16]Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao:
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network. CVPR 2022: 3698-3707 - 2021
- [c15]Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li, Randall W. Hill Jr.:
Equivariant Point Network for 3D Point Cloud Analysis. CVPR 2021: 14514-14523 - [c14]Yichao Zhou, Shichen Liu, Yi Ma:
NeRD: Neural 3D Reflection Symmetry Detector. CVPR 2021: 15940-15949 - [c13]Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao:
Topologically Consistent Multi-View Face Inference Using Volumetric Sampling. ICCV 2021: 3804-3814 - [c12]Shichen Liu, Yichao Zhou, Yajie Zhao:
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers. ICCV 2021: 12839-12848 - 2019
- [c11]Shichen Liu, Weikai Chen, Tianye Li, Hao Li:
Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning. ICCV 2019: 7707-7716 - [c10]Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li:
Learning to Infer Implicit Surfaces without 3D Supervision. NeurIPS 2019: 8293-8304 - 2018
- [c9]Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. CVPR 2018: 2752-2761 - [c8]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: 3704-3710 - [c7]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: 596-605 - [c6]Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Generalized Zero-Shot Learning with Deep Calibration Network. NeurIPS 2018: 2009-2019 - [c5]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: 1939-1948 - 2017
- [c4]Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
Collective Deep Quantization for Efficient Cross-Modal Retrieval. AAAI 2017: 3974-3980 - [c3]Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
Deep Visual-Semantic Quantization for Efficient Image Retrieval. CVPR 2017: 916-925 - [c2]Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si:
Cascade Ranking for Operational E-commerce Search. KDD 2017: 1557-1565 - 2012
- [c1]Shichen Liu, Yan Xiong, Qiwei Lu, Wenchao Huang:
Replicator Dynamic Inspired Differential Evolution Algorithm for Global Optimization. IJCCI 2012: 133-143
Informal and Other Publications
- 2024
- [i18]Ziqian Bai, Feitong Tan, Sean Fanello, Rohit Pandey, Mingsong Dou, Shichen Liu, Ping Tan, Yinda Zhang:
Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes. CoRR abs/2404.01543 (2024) - [i17]Shichen Liu, Huaxing Lu:
Evaluating the Visual Similarity of Southwest China's Ethnic Minority Brocade Based on Deep Learning. CoRR abs/2408.14060 (2024) - [i16]Huan Wang, Feitong Tan, Ziqian Bai, Yinda Zhang, Shichen Liu, Qiangeng Xu, Menglei Chai, Anish Prabhu, Rohit Pandey, Sean Fanello, Zeng Huang, Yun Fu:
LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field. CoRR abs/2409.18057 (2024) - 2023
- [i15]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 abs/2304.10528 (2023) - [i14]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 abs/2312.04875 (2023) - 2022
- [i13]Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao:
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network. CoRR abs/2204.01671 (2022) - 2021
- [i12]Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li:
Equivariant Point Network for 3D Point Cloud Analysis. CoRR abs/2103.14147 (2021) - [i11]Yichao Zhou, Shichen Liu, Yi Ma:
NeRD: Neural 3D Reflection Symmetry Detector. CoRR abs/2105.03211 (2021) - [i10]Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao:
Topologically Consistent Multi-View Face Inference Using Volumetric Sampling. CoRR abs/2110.02948 (2021) - 2020
- [i9]Yichao Zhou, Shichen Liu, Yi Ma:
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction. CoRR abs/2006.10042 (2020) - 2019
- [i8]Shichen Liu, Weikai Chen, Tianye Li, Hao Li:
Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction. CoRR abs/1901.05567 (2019) - [i7]Shichen Liu, Tianye Li, Weikai Chen, Hao Li:
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning. CoRR abs/1904.01786 (2019) - [i6]Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li:
Learning to Infer Implicit Surfaces without 3D Supervision. CoRR abs/1911.00767 (2019) - 2018
- [i5]Yu Gong, Xusheng Luo, Kenny Q. Zhu, Shichen Liu, Wenwu Ou:
Automatic Generation of Chinese Short Product Titles for Mobile Display. CoRR abs/1803.11359 (2018) - [i4]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 abs/1805.10727 (2018) - [i3]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 abs/1809.06260 (2018) - 2017
- [i2]Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si:
Cascade Ranking for Operational E-commerce Search. CoRR abs/1706.02093 (2017) - [i1]Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet using Learned Group Convolutions. CoRR abs/1711.09224 (2017)
Coauthor Index
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