姓名: 黄锐
职称: 讲师及助教
性别: 男
邮件地址: ruihuang@hust.edu.cn
办公电话:
黄锐
联系方式:
联系方式:
教育背景:
1995年 9月 ~ 1999年 6月,北京大学计算机科学技术系,理学学士
论文:基于遗传算法的图像拼接方法研究及实现
导师:马颂德
1999年 9月 ~ 2002年 6月,中国科学院自动化研究所,工学硕士
论文:人脸识别中的子空间分析方法
导师:马颂德,卢汉清
2002年 9月 ~ 2008年 9月,美国新泽西州立大学 (Rutgers, the State University of New Jersey),博士
论文:Graphical Models for Object Segmentation
导师:Dimitris N. Metaxas, Vladimir Pavlovic
论文:基于遗传算法的图像拼接方法研究及实现
导师:马颂德
1999年 9月 ~ 2002年 6月,中国科学院自动化研究所,工学硕士
论文:人脸识别中的子空间分析方法
导师:马颂德,卢汉清
2002年 9月 ~ 2008年 9月,美国新泽西州立大学 (Rutgers, the State University of New Jersey),博士
论文:Graphical Models for Object Segmentation
导师:Dimitris N. Metaxas, Vladimir Pavlovic
工作经历:
1999年 2月 ~ 2002年 6月,中国科学院自动化研究所,研究助理
2001年 8月 ~ 2001年 9月,微软中国研究院 (Microsoft Research China),实习
2002年 9月 ~ 2008年 9月,美国新泽西州立大学,研究助理
2005年 6月 ~ 2005年 8月,美国西门子研究院 (Siemens Corporate Research),实习
2007年 9月 ~ 2008年 1月,美国新泽西州立大学,助教
2008年10月 ~ 2010年 8月,美国新泽西州立大学,博士后
研究方向:
基于Deformable model和Graphical model 的图像与视频分析及其在计算机视觉和医学图像分析领域的应用。
基于数据降维和子空间分析的人脸识别。
计算机视觉和模式识别的相关问题。
基于数据降维和子空间分析的人脸识别。
计算机视觉和模式识别的相关问题。
研究项目:
基于数据降维和子空间分析的人脸识别方法,2001~2003。
基于Graphical model的人脸识别方法,2004~2009。
Deformable model和Graphical model在基于图像和视频的对象分割的应用,2004~2008。
基于Graphical model的形状建模方法,2006~2009。
基于Graphical model的序列分析方法及其在表情识别,行动识别方面的应用,2008~2009。
医学图像分析,包括Tagged MRI,偏差场(bias field)的估计和校正等,2007~2009。
基于Graphical model的人脸识别方法,2004~2009。
Deformable model和Graphical model在基于图像和视频的对象分割的应用,2004~2008。
基于Graphical model的形状建模方法,2006~2009。
基于Graphical model的序列分析方法及其在表情识别,行动识别方面的应用,2008~2009。
医学图像分析,包括Tagged MRI,偏差场(bias field)的估计和校正等,2007~2009。
学术活动:
国际学术会议评审:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008, 2009, 2010, 2011
International Conference on Computer Vision (ICCV) 2007, 2009
European Conference on Computer Vision (ECCV) 2010
国际学术期刊评审:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Systems, Man, and Cybernetics Part B
IEEE Transactions on Neural Networks
Computer Vision and Image Understanding
Image and Vision Computing
Medical Image Analysis
Neurocomputing
Pattern Recognition Letters
EURASIP Journal on Applied Signal Processing, etc.
第二届中美计算机科学教育峰会(the Second US-China Computer Science Leadership Summit 2008)协调人
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008, 2009, 2010, 2011
International Conference on Computer Vision (ICCV) 2007, 2009
European Conference on Computer Vision (ECCV) 2010
国际学术期刊评审:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Systems, Man, and Cybernetics Part B
IEEE Transactions on Neural Networks
Computer Vision and Image Understanding
Image and Vision Computing
Medical Image Analysis
Neurocomputing
Pattern Recognition Letters
EURASIP Journal on Applied Signal Processing, etc.
第二届中美计算机科学教育峰会(the Second US-China Computer Science Leadership Summit 2008)协调人
发表论文
期刊论文及专书章节
- Embedded Profile Hidden Markov Models for Shape Analysis
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, under review
- A Level Set Method for Image Segmentation in Presence of Intensity Inhomogeneities with Application to MRI (SCI/EI检索)
Chunming Li, Rui Huang, Zhaohua Ding, J. Chris Gatenby, Dimitris N. Metaxas, and John C. Gore
to appear in IEEE Transactions on Image Processing
- A Graphical Model Framework for Image Segmentation
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
Applied Graph Theory in Computer Vision and Pattern Recognition, 43-63, Springer, 2007. - Kernel-Based Nonlinear Discriminant Analysis for Face Recognition (SCI/EI检索)
Qingshan Liu, Rui Huang, Hanqing Lu, and Songde Ma
in Journal of Computer Science and Technology, Vol. 18, No. 6, 788-795, Nov, 2003.
- A New Spatio-Temporal MRF Framework for Video-based Object Segmentation
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
in Proceedings of International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA’08), in conjunction with European Conference on Computer Vision (ECCV’08), 2008. - A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity (EI检索)
Chunming Li, Rui Huang, Zhaohua Ding, J. Chris Gatenby, Dimitris N. Metaxas, and 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 (EI检索)
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
in Proceedings of IEEE International Conference on Computer Vision (ICCV’07), 2007. - A Novel Tag Removal Technique for Tagged Cardiac MRI and its Applications (EI检索)
Zhen Qian, Rui Huang, Dimitris N. Metaxas and Leon Axel
in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI’07), 2007. - Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models (EI检索)
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI’07), 2007. - A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape (EI检索)
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
in Proceedings of IEEE International Conference on Image Processing (ICIP’06), 2006. - A Tightly Coupled Region-Shape Framework for 3D Medical Image Segmentation (EI检索)
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI’06), 2006. - Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints (SCI/EI检索)
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
in Proceedings of International Workshop on Computer Vision for Biomedical Image Applications (CVBIA’05), in conjunction with IEEE International Conference on Computer Vision (ICCV’05), also in Lecture Notes in Computer Science book series: Computer Vision for Biomedical Image Applications ( LNCS 3765), Springer, 2005. - Deformable-Model Based Textured Object Segmentation (SCI/EI检索)
Xiaolei Huang, Zhen Qian, Rui Huang, and Dimitris N. Metaxas
in Proceedings of International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR’05), also in Lecture Notes in Computer Science book series: Energy Minimization Methods in Computer Vision and Pattern Recognition (LNCS 3757), Springer, 2005. - A Hybrid Face Recognition Method using Markov Random Fields (EI检索,引用次数 19*)
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
in Proceedings of International Conference on Pattern Recognition (ICPR’04), 2004. - A Graphical Model Framework for Coupling MRFs and Deformable Models (EI检索,引用次数 35*)
Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR’04), 2004. - Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition (EI检索)
Qingshan Liu, Rui Huang, Hanqing Lu, and Songde Ma
in Proceedings of International Conference on Pattern Recognition (ICPR’02), 2002. - Solving the Small Sample Size Problem of LDA (EI检索,引用次数 117*)
Rui Huang, Qingshan Liu, Hanqing Lu, and Songde Ma
in Proceedings of International Conference on Pattern Recognition (ICPR’02), 2002. - Face Recognition Using Kernel-Based Fisher Discriminant Analysis (EI检索,引用次数 105*)
Qingshan Liu, Rui Huang, Hanqing Lu, and Songde Ma
in Proceedings of IEEE conference on Automatic Face and Gesture Recognition (FG’02), 2002.
*论文引用次数来自Google Scholar,截至2010年4月。









