Biography

Professor Huang received his B.Sc. degree in Computer Science from Peking University in 1999, M.Eng. degree in Pattern Recognition and Intelligent System from Chinese Academy of Sciences in 2002, and Ph.D. degree in Computer Science from Rutgers University in 2008.  He went on to work as a postdoctoral researcher at Rutgers University, before returning to China and joining the faculty at Huazhong University of Science and Technology in 2010.  From 2012 to 2016, he was a research scientist at NEC Laboratories China.  He is now an Associate Professor at The Chinese University of Hong Kong, Shenzhen.

Professor Huang has worked on various research topics, including subspace analysis, deformable models, probabilistic graphical models, and their applications in computer vision and related areas.  He has published over 90 papers in these areas and has been the principal investigator of various research grants.  His current research interests include machine learning methods for intelligent video analysis, computer vision for robotics and autonomous driving, etc.

Research

RESEARCH INTERESTS:


Visual SLAM for robot navigation

3D semantic scene parsing

Graphical models for image and video modeling

Deformable models and level set methods for 2D/3D image segmentation

Machine Learning for face recognition and person identification

Other related topics in computer vision, pattern recognition, robotics, and medical image analysis


RESEARCH PROJECTS:


Monocular visual SLAM, 2020~2023

3D semantic scene parsing, 2021~2022

Intelligent video editing for surveillance and education, 2019~2022

Realtime interactive virtual tourism via visual localization, 2019~2021

Person search and (re)-identification for intelligent video surveillance, 2014~2020

Face liveness detection/anti-spoofing for face recognition, 2014~2015

Multi-camera multi-target tracking for business intelligence, 2014~2015

Action recognition using deep learning, 2013~2014

Object localization and categorization using graphical models, 2008~2014

Bias field estimation for medical imaging using level set methods and graphical models, 2008~2012

Sequential data analysis using generative and discriminative graphical models, 2008~2009

Shape modeling using graphical models, 2006~2009

Object segmentation using deformable models and graphical models, 2003~2008

Face recognition using subspace analysis and graphical models, 2001~2004

Awards and honors
  • 2019
  • 2018
  • 2014
  • 2012
  • 2007
<
  • 01

    2019

    Winner of Advances in Image Manipulation (AIM'19) Raw to RGB Mapping Challenge in International Conference on Computer Vision (ICCV'19). HighEr-Resolution Network for Image Demosaicing and Enhancing, Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, in Proceedings of Advances in Image Manipulation (AIM’19) in conjunction with IEEE International Conference on Computer Vision (ICCV’19), 2019.

  • 02

    2018

    First Place in IEEE ICDM 2018 Global AI Challenge on Meteorology (as Supervisor)

  • 03

    2018

    Second Prize in Natural Science of Science and Technology Awards of China Computer Federation (CCF) 2018. Research on Biologically Inspired Features and Fisher Vector Methods and Techniques, Bingpeng Ma, Rui Huang, Annan Li, 2018

  • 04

    2014

    Best Student Paper Award of IEEE International Conference on Multimedia and Expo (ICME) 2014. An Expressive Deep Model for Parsing Human Action from a Single Image, Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin, in Proceedings of IEEE International Conference on Multimedia and Expo (ICME’14), 2014.

  • 05

    2012

    First Prize of Hubei Province Natural Science Excellent Academic Paper Award 2012. Real-Time Skin Color Detection under Rapidly Changing Illumination Conditions, Leyuan Liu, Nong Sang, Saiyong Yang, Rui Huang, in IEEE Transactions on Consumer Electronics, Vol. 57, No. 3, 2011.

  • 06

    2007

    Outstanding Reviewers Award of IEEE International Conference on Computer Vision (ICCV), 2007.

>
Publications

Selected Journal Articles:


SANet: Statistic Attention Network for Video-Based Person Re-Identification

Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Shiguang Shan, Xilin Chen

in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 32, No. 6, 2022.


Unsupervised Monocular Depth Perception: Focusing on Moving Objects

Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang∗

in IEEE Sensors Journal, Vol. 21, No. 24. 2021. Featured Article


UniFuse: Unidirectional Fusion for 360 Panorama Depth Estimation

Hualie Jiang, Zhe Sheng, Siyu Zhu, Zilong Dong, Rui Huang*

in IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 2, 2021.


Towards Fully Autonomous Ultrasound Scanning Robot with Imitation Learning based on Clinical Protocols

Yanwei Huang, Wei Xiao, Chuyang Wang, Hengli Liu, Rui Huang, Zhenglong Sun

in IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 2, 2021.


Cross-Modal Knowledge Adaptation for Language-Based Person Search

Yucheng Chen, Rui Huang, Hong Chang, Chuanqi Tan, Tao Xue, Bingpeng Ma

in IEEE Transactions on Image Processing (TIP), Vol. 30, No. 3, 2021.


Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model
Wei Zhang, Bingpeng Ma, Kan Liu, Rui Huang*
in IEEE Transactions on Image Processing (TIP), Vol. 26, No. 4, 2017.


DeepList: Learning Deep Features with Adaptive Listwise Constraint for Person Re-identification
Jin Wang, Zheng Wang, Changxin Gao, Nong Sang, Rui Huang
in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 27, No. 3, 2017.


Robust Visual Tracking Using Exemplar-based Detectors
Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang
in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 27, No. 2, 2017.


Learning Structure of Stereoscopic Image for No-reference Quality Assessment with Convolutional Neural Network

Wei Zhang, Chenfei Qu, Lin Ma, Jingwei Guan, Rui Huang
in Pattern Recognition, Vol. 59, 2016.


Multi-target Tracking Using Hough Forest Random Field
Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao
in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 26, No. 11, 2016.


Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models
Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, Yongtian Wang
in IEEE Transactions on Medical Imaging (TMI), Vol. 35, No. 3, 2016.


Real-Time Skin Color Detection under Rapidly Changing Illumination Conditions
Leyuan Liu, Nong Sang, Saiyong Yang, Rui Huang
in IEEE Transactions on Consumer Electronics (TCE), Vol. 57, No. 3, Aug, 2011.


A Level Set Method for Image Segmentation in Presence of Intensity Inhomogeneities with Application to MRI
Chunming Li, Rui Huang, Zhaohua Ding, J. Chris Gatenby, Dimitris N. Metaxas, John C. Gore
in IEEE Transactions on Image Processing (TIP), Vol. 20, No. 7, Jul, 2011.


Selected Conference Papers:


Deep Semantic Statistics Matching (D2SM) Denoising Network

Kangfu Mei, Vishal M. Patel, Rui Huang*

in Proceedings of the European Conference on Computer Vision (ECCV’22), 2022.


Salient-to-Broad Transition for Video Person Re-identification

Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Xilin Chen

in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’22), 2022.


Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection

Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang-Wen Chen

in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’22), 2022.


Fully Attentional Network for Semantic Segmentation

Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang*

in Proceeding of American Association for Artificial Intelligence (AAAI’22), 2022.


Discriminative Clue Alignment Network for Both Image- and Video-Based Person Re-Identification

Panwen Hu, Xinyu Zhou, Rui Huang*

in Proceedings of British Machine Vision Conference (BMVC’21), 2021.


IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement

Jie Li, Laiyan Ding, and Rui Huang*

in Proceeding of International Joint Conference on Artificial Intelligence (IJCAI’21), 2021.


BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification

Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, and Shiguang Shan

in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’21), 2021.


AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing

Qi Song, Kangfu Mei, Rui Huang*

in Proceeding of AAAI Conference on Artificial Intelligence (AAAI’21),2021.


Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li*, Rui Huang, Shuguang Cui

in Proceedings of AAAI Conference on Artificial Intelligence (AAAI’21), 2021.


DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos

Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang*

in IEEE International Conference on Intelligent Robots and Systems (IROS’20), 2020.


Learning Memory Augmented Cascading Network for Compressed Sensing of Images

Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang

in Proceedings of the European Conference on Computer Vision (ECCV’20), 2020.


Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly
Jun Xiang, Guoshuai Zhang, Nong Sang, Rui Huang, Jianhua Hou
in Proceedings of British Machine Vision Conference (BMVC’18), 2018.


A Spatio-temporal Appearance Representation for Video-based Pedestrian Re-identification
Kan Liu, Bingpeng Ma, Wei Zhang, Rui Huang*
in Proceedings of IEEE International Conference on Computer Vision (ICCV’15), 2015.


Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness
Yuanlu Xu, Bingpeng Ma, Rui Huang*, Liang Lin
in Proceedings of ACM Multimedia (ACM MM’14), 2014.


An Expressive Deep Model for Parsing Human Action from a Single Image

Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin
in Proceedings of IEEE International Conference on Multimedia and Expo (ICME’14), 2014.


Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model
Xiaodan Liang, Qingxing Cao, Rui Huang*, Liang Lin
in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI’14), 2014.


A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity

Chunming Li, Rui Huang, Zhaohua Ding, J. Chris Gatenby, Dimitris N. Metaxas, John C. Gore
in Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’08), 2008.


Embedded Profile Hidden Markov Models for Shape Analysis
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
in Proceedings of IEEE International Conference on Computer Vision (ICCV’07), 2007.


A Graphical Model Framework for Coupling MRFs and Deformable Models

Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR’04), 2004.


Solving the Small Sample Size Problem of LDA

Rui Huang, Qingshan Liu, Hanqing Lu, Songde Ma
in Proceedings of International Conference on Pattern Recognition (ICPR’02), 2002.


Face Recognition Using Kernel-Based Fisher Discriminant Analysis
Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma
in Proceedings of IEEE conference on Automatic Face and Gesture Recognition (FG’02), 2002.