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About Updates Publications Experience Services
Greetings! I am Fu, Huan (付欢). I am currently a Staff Algorithm Engineer in Tao Technology Department, Alibaba Group. I obtained my Ph.D. degree from University of Sydney (USYD) in April 2019. Thanks to the continuous guidance, support and encoragement of my supervisor Prof. Dacheng Tao, and co-supervisors A/Prof. Chaohui Wang and A/Prof. Mingming Gong. Piror to that, I got my bachelor degree from University of Science and Technology of China (USTC) in July 2014.
Research: Computer Vision (Semantic Segmentation, Depth Estimation, and Boundary Detection etc.), Domain Adapation, Generative Adversarial Network, 3D Vision.
Updates
- 10/2023, Welcome to join our 3D Vision and Modeling Challenges in eCommerce ICCV 2023 Workshop.
- 06/2023, One paper has been accepted to ICCV23.
- 03/2023, our NeuDA has been accepted to CVPR 2023.
- 07/2022, our HrSRG has been accepted to ECCV 2022.
- 03/2022, three papers have been accepted to CVPR 2022.
- 09/2021, our 3D-FUTURE paper has been accepted to IJCV.
- 07/2021, our 3D-FRONT paper has been accepted to ICCV 2021.
- 12/2020, one paper has been accepted to AAAI 2021.
- 11/2020, one paper has been accepted to TPAMI.
- 10/2020, our 3D-FRONT (3D Furnished Rooms with layOuts and semaNTics) dataset has received the ChinaGraph Best Dataset Award.
- 09/2020, two papers have been accepted to NeurlPS 2020.
- 06/2020, very happy to announce the release of 3D-FRONT (3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics). 3D-FRONT is a new large-scale 3D scene dataset containing 6,813 distinct houses and 19,775 diversely furnished rooms.
- 04/2020, very happy to announce the release of 3D-FUTURE (3D-FUTURE: 3D FUrniture shape with TextURE ). 3D-FUTURE is a new large-scale 3D model dataset containing 9,992 high-quality 3D shapes with infomative textures.
- 03/2020, I am a co-organizer of the IJCAI 2020 workshop: 3D Artificial Intelligence Challenge through 3D-FUTURE Benchmark. Welcome to join us.
- 06/2019, our paper GcGAN has been selected as Best Paper Finalist, CVPR19.
- 02/2019, two papers have been accepted to CVPR 2019.
- 06/2018, our method DORN won the 1st prize in single image depth prediction competition in Robust Vision Challenge 2018.
- 02/2018, one paper has been accepted to CVPR 2018.
Publications
#: Corresponding Author
Conferences & Journals
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
Accepted to ICCV, 2023
Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu#, Mingming Gongg#
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction
Accepted to CVPR, 2023
Bowen Cai, Jinchi Huang, Rongfei Jia, Chengfei Lv, Huan Fu#
Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation
Accepted to ECCV, 2022
Jian Zhang*, Jinchi Huang*, Bowen Cai*, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang, Huan Fu#
Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation
Accepted to CVPR, 2022
Jian Zhang*, Yuanqing Zhang*, Huan Fu#, Xiaowei Zhou, Bowen Cai, Jinchi Huang, Rongfei Jia, Binqiang Zhao, and Xing Tang
Modeling Indirect Illumination for Inverse Rendering
Accepted to CVPR, 2022
Yuanqing Zhang, Jiaming Sun, Xingyi He, Huan Fu, Rongfei Jia, and Xiaowei Zhou
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint
Accepted to CVPR, 2022
Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, and Dacheng Tao
3D-FUTURE: 3D Furniture shape with TextURE
Accepted to IJCV, 2021
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, and Dacheng Tao
[paper]
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics
International Conference on Computer Vision (ICCV), 2021
Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Cao Li, Jiaming Wang, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, and Hao Zhang
[Project Page]
Adaptive Context-Aware Multi-Modal Network for Depth Completions
IEEE Transaction on Image Processing (T-IP), 2021
Shanshan Zhao, Mingming Gong, Huan Fu, and Dacheng Tao
[paper] [code]
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, and Yinghui Xu
[paper]
Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Chaohui Wang*, Huan Fu*, Dacheng Tao, and Michael J. Black
[paper]
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
Thirty-fourth Conference on Neural Information Processing Systems (NeurlPS), 2020
Huan Fu*, Shunming Li*, Rongfei Jia, Mingming Gong, Binqiang Zhao, and Dacheng Tao
[paper] [code]
Domain Generalization via Entropy Regularization
Thirty-fourth Conference on Neural Information Processing Systems (NeurlPS), 2020
Shanshan Zhao, Mingming Gong, Tongliang Liu, Huan Fu, and Dacheng Tao
[paper] [code]
Geometry-Consistent Generative Adversarial Networks for One-sided Unsupervised Domain Mapping
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Best Paper Finalist)
Huan Fu*, Mingming Gong*, Kayhan Batmanghelich, Kun Zhang, and Dacheng Tao
[paper] [code]
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Shanshan Zhao, Huan Fu, Mingming Gong, and Dacheng Tao
[paper] [code]
Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation
International Conference on Medical Image Computing and Computer Assisted Intervention Brainlesion Workshop (BrainLes@MICCAI), 2018
Yanwu Xu, Mingming Gong, Huan Fu, Dacheng Tao, Kun Zhang, and Kayhan Batmanghelich
[paper] [book]
Deep Ordinal Regression Network for Monocular Depth Estimation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, and Dacheng Tao
The 1st Prize in Single Image Depth Estimation in Robust Vision Challenge 2018
[paper] [code] [talk] [KITTI leaderboard]
MoE-SPNet: A Mixture-of-Experts Scene Parsing Network
Pattern Recognition (PR), 2018
Huan Fu, Mingming Gong, Chaohui Wang, and Dacheng Tao
[paper]
Local Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks
IEEE Transaction on Image Processing (T-IP), 2018
Kede Ma, Huan Fu, Tongliang Liu, Zhou Wang, and Dacheng Tao
[paper] [code]
Occlusion Boundary Detection via Deep Exploration of Context
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Huan Fu, Chaohui Wang, Dacheng Tao, and Michael J. Black
[paper]
Facial Expression Recognition using Deep Boltzmann Machine from Thermal Infrared Images
Affective Computing and Intelligent Interaction (ACII), 2013
Shan He, Shangfei Wang, Wuwei Lan, Huan Fu, and Qiang Ji
[paper]
Preprints
A Compromise Principle in Deep Monocular Depth Estimation
Tech. report, 2018
Huan Fu, Mingming Gong, Chaohui Wang, and Dacheng Tao
Education & Experience
Education
March 2017 - April 2019 (Ph.D.)
UBTECH Sydney AI Centre, School of Computer Science, Faculty of Engineering and Information Technologies (FEIT), University of Sydney (USYD), Australia
Supervisor: Prof. Dacheng Tao
Co-supervisor: A/Prof. Chaohui Wang and A/Prof. Mingming Gong
September 2014 - March 2017 (Ph.D. Student)
Faculty of Engineering and Information Technologies (FEIT), University of Technology Sydney (UTS), Australia
Supervisor: Prof. Dacheng Tao
Co-supervisor: A/Prof. Chaohui Wang and A/Prof. Mingming Gong
July 2014 - August 2010 (B.S.)
School of Information Science and Technology, University of Science and Technology of China (USTC), China
Supervisor: A/Prof. Xinmei Tian and A/Prof. Shangfei Wang
Experience
May 2019 - Present
Tao Technology Depertment, Alibaba Group, China
July 2013 - October 2013 (Software Engineer Intern)
Microsoft Asia-Pacific R&D Group (ARD), China
Services
Conference SPC member
- IJCAI21
- IJCAI23
Conference PC member
- CVPR23, ICML23, ICCV23, NeurIPS23
- NeurIPS22, 3DV22, ECCV22, CVPR22, ICML22, AAAI22, IJCAI22
- NeurIPS21, ICCV21, CVPR21, ICML21, AAAI21
- NeurIPS20, CVPR20, AAAI20, IJCAI20
Journal Reviewer
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
- IEEE Transactions on Image Processing (T-IP)
- IEEE Transactions on Cybernetics (T-CYB)
- ACM Transactions on Knowledge Discovery from Data (T-KDD)
- Pattern Recognition (PR)