Prof. HUANG Rui

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Prof. HUANG Rui WEBSITE

Biography

Professor Huang received his B.Sc. degree from Peking University (1999), M.Eng. degree from Chinese Academy of Sciences (2002), and Ph.D. degree (2008) from Rutgers University.  He went on working as a postdoctoral researcher at Rutgers University, before coming back to China in 2010 and joined Huazhong University of Science and Technology as a faculty member.  From 2012 to 2016 he was a research scientist in NEC Laboratories China. He is now an Associate Professor in 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, pattern recognition and medical imaging.  His more recent research focuses on machine learning methods for intelligent video surveillance, including pedestrian detection, tracking, identification, etc.  Currently he is working on vision for robotics.  He has published more than 60 papers in related areas and has been the principal investigator of various research grants.


Research

RESEARCH INTERESTS:


Visual SLAM for robotics.

Graphical models for image and video modeling.

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

Machine Learning for face recognition and person identification.

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


RESEARCH PROJECTS:


Visual SLAM for robotics, 2016~2018.

Person search and (re)-identification for intelligent video surveillance, 2014~2017.

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
  • 2014
  • 2012
  • 2007
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  • 01

    2007

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

  • 02

    2012

    The 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, Aug, 2011.

  • 03

    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.

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Academic Publications

Selected Publications:


Journal Articles and Book Chapters:


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, 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, 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, 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, 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, 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, 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, Vol. 20, No. 7, Jul, 2011.


Conference Papers:


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 Belief Propagation Algorithm for Bias Field Estimation and Image Segmentation

Rui Huang, Nong Sang, Vladimir Pavlovic, Dimitris N. Metaxas
in Proceedings of IEEE International Conference on Image Processing (ICIP’11), 2011.


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 Hybrid Face Recognition Method using Markov Random Fields
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
in Proceedings of International Conference on Pattern Recognition (ICPR’04), 2004.


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.