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— Faculty —

HAN, Xiaoguang

Title:

Research Assistant Professor

Education Background

PhD (The University of Hong Kong)

MS (Zhejiang University)

BS (NUAA)

Research Field
Computer Vision, Computer Graphics, Human-Computer Interaction, Medical image analysis, Machine Learning
Personal Website

http://www.cuhk.edu.cn/academics/hanxiaoguang

Email

hanxiaoguang@cuhk.edu.cn

Biography:


Dr. Xiaoguang Han received his Ph.D. degree in computer science from The University of Hong Kong (2013-2017), his M.S. degree in applied mathematics from Zhejiang University (2009-2011) and his B.S. degree in math from Nanjing University of Aeronautics and Astronautics. He also spent 2 years (2011-2013) in City University of Hong Kong as a research associate. In Sep 2017, he joined The Chinese University of Hong Kong (Shenzhen) and Shenzhen Research Institute of Big Data (SRIBD). His research interests include computer vision, computer graphics, human-computer interaction, medical image analysis and machine learning. He already published 19 papers at the leading conferences and journals, including SIGGRAPH, CVPR, ICCV, AAAI, ACM TOG, IEEE TVCG etc. He got the best demo award at Siggraph Asia 2013 emerging technology, one of his paper was selected as one of the notable articles of the 21st annual best of computing, one of his work has been selected as the CVPR 2019 best paper finalist (acceptance rate is around 1%), his team also got the 1st place of IEEE ICDM Global A.I. Challenge on Meteorology (out of 1700 teams). For more details, please visit http://mypage.cuhk.edu.cn/academics/hanxiaoguang/


Academic Publications:


[1] Yinyu Nie, Xiaoguang Han#, Shihui Guo, Yujian Zheng, Jian Chang, Jianjun Zhang, Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image, CVPR 2020 (Oral). (# corresponding author)

[2] Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han#, FPConv: Learning Local Flattening for Point Convolution, CVPR 2020. (# corresponding author)

[3] Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu, Self-Enhanced Convolutional Network for Facial Video Hallucination, TIP 2020.

[4] Xiangyu Zhu, Xiaoguang Han#, Wei Zhang, Jian Zhao, Ligang Liu. Learning intrinsic decomposition of complex-textured fashion images, ICME 2020. (# corresponding author)

[5] Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lv, HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation, ICCV 2019.

[6] Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia, Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks, ICCV 2019.

[7] Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui, Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image, CVPR 2019 (Oral).

[8] Jiapeng Tang*, Xiaoguang Han*, Junyi Pan, Kui Jia, Xin Tong, A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images, CVPR 2019 (Oral). Selected as CVPR 2019 Best Paper Finalist (~ 0.8%). (*Joint first authors)

[9] Chuan Wang, Haibin Huang, Xiaoguang Han#, Jue Wang, Video Inpainting by Jointly Learning Temporal Structure and Spatial Details, AAAI 2019 (Spotlight Oral). (# corresponding author)

[10] Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han#, Two-phase Hair Image Synthesis by Self-Enhancing Generative Model, Proc. PG 2019. (# corresponding author)

[11] Zizheng Yan, Xiaoguang Han#, Changmiao Wang, Yuda Qiu, Zixiang Xiong, Shuguang Cui, Learning mutually local-global u-nets for high-resolution retinal lesion segmentation in fundus images, ISBI 2019. (# corresponding author)

[12] Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Shuguang Cui, Kun Zhou, Yizhou Yu, CaricatureShop: Personalized and Photorealistic Caricature Sketching, TVCG 2018.

[13] Xiaoguang Han*, Zhen Li*, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu, High Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference, ICCV 2017 (Spotlight Oral). (*Joint first authors)

[14] Xiaoguang Han, Chang Gao, Yizhou Yu, DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling, TOG, SIGGRAPH 2017. (Part of the Technical Papers Video Trailer for SIGGRAPH 2017).

[15] Yipeng Qin*, Xiaoguang Han*, Hongchuan Yu, Yizhou Yu, Jianjun Zhang, Fast and Exact Discrete Geodesic Computation Based on Triangle-Oriented Wavefront Propagation, TOG, SIGGRAPH 2016. (The fastest algorithm with the least memory usage to calculate “Exact Shortest Path/Distance” over triangular meshes.)

[16] Xiaoguang Han, Kenneth K.Y. Wong, Yizhou Yu, 3D Human Model Reconstruction from Sparse Uncalibrated Views, IEEE Computer Graphics and Applications, 2016. (One of the Notable Articles of the 21st Annual Best of Computing.) (*Joint first authors)

[17] Sai Bi, Xiaoguang Han, Yizhou Yu, An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition, TOG, SIGGRAPH 2015.

[18] Hongbo Fu, Xiaoguang Han, Quoc Huy Phan, Data-driven Suggestions for Portrait Posing, SIGGRAPH ASIA 2013. (Technical Briefs and Emerging Technologies. Best Demo Award. One of the four program highlights.)

[19] Xiaoguang Han, Hongbo Fu, Hanlin Zheng, Ligang Liu, Jue Wang, A Video-based Interface for Hand-Driven Stop Motion Animation Production, IEEE Computer Graphics and Applications, 2013.

[20] Shizhe Zhou, Hongbo Fu, Ligang Liu, Daniel Cohen-Or, Xiaoguang Han, Parametric Reshaping of Human Bodies in Images, TOG, SIGGRAPH 2010. (One of the six highlights among all SIGGRAPH 2010 papers.)