Ming-Hsuan Yang: Publications

Last Update: 04/25/13

Books and Chapters

• Toward Robust Online Visual Tracking
  Ming-Hsuan Yang and Jeffrey Ho
  Distributed Video Sensor Networks (eds. Bir Bhanu, Chinya V. Ravishankar, Amit K. Roy-Chowdhury, Hamid Aghajan and Demetri Terzopoulos), pp. 119-136, 2011.
  [PDF]

• Face Detection
  Ming-Hsuan Yang
  Encyclopedia of Biometrics (eds. Stan Z. Li), pp. 303-308, 2009.
  [PDF]

• Object Recognition
  Ming-Hsuan Yang
  Encyclopedia of Database Systems (eds. Ling Liu and M. Tamer Ozsu), pp. 1936-1939, 2009.
  [PDF]

• Face Detection and Hand Gesture Recognition for Human Computer Interaction
  Ming-Hsuan Yang and Narendra Ahuja
  Kluwer Academic Publishers (ISBN: 0-7923-7409-6), 2001.

Journal Papers

• Bayesian Saliency via Low and Mid Level Cues
  Yulin Xie, Huchuan Lu, and Ming-Hsuan Yang
  IEEE Transactions on Image Processing (TIP), vol. 22, no. 5, pp. 1689-1698, 2013
  [PDF] MATLAB code and data sets

• Online Object Tracking with Sparse Prototypes
  Dong Wang, Huchuan Lu, and Ming-Hsuan Yang
  IEEE Transactions on Image Processing (TIP), vol. 22, no. 1, pp. 314-325, 2013.
  [PDF] MATLAB code and data sets

• Traffic Modeling and Prediction Using Sensor Networks: Who Will Go Where and When?
  Zaihong Shuai, Sangseok Yoon, Songhwai Oh, and Ming-Hsuan Yang
  ACM Transactions on Sensor Networks (TOSN), vol 9, no. 1, pp. 6:1-6:28, 2012.
  [PDF] Project webpage

• Object Tracking via Partial Least Squares Analysis
  Qing Wang, Feng Chen, Wenli Xu, and Ming-Hsuan Yang
  IEEE Transactions on Image Processing (TIP), vol. 21, no. 10, pp. 4454-4465, 2012.
  [PDF] MATLAB code and data sets

• Transferring Visual Prior for Online Object Tracking
  Qing Wang, Feng Chen, Jimei Yang, Wenli Xu, and Ming-Hsuan Yang
  IEEE Transactions on Image Processing (TIP), vol. 21, no. 7, pp. 3296-3305, 2012.
  [PDF] Project webpage

• Robust Object Tracking with Online Multiple Instance Learning
  Boris Babenko, Ming-Hsuan Yang, and Serge Belongie
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 33, no. 8, pp. 1619-1632, 2011.
  [PDF] C++ code and data sets

• Higher-Dimensional Affine Registration and Vision Applications
  S. M. Shahed Nejhum, Yu-Tseh Chi, Jeffrey Ho, and Ming-Hsuan Yang
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 33, no. 7, pp. 1324-1338, 2011.
  [PDF] MATLAB code and data sets

• Online Sparse Matrix Gaussian Process Regression and Vision Applications
  Ananth Ranganathan, Ming-Hsuan Yang, and Jeffrey Ho
  IEEE Transactions on Image Processing (TIP), vol. 20, no. 2, pp. 391-404, 2011.
  [PDF] MATLAB code and data sets

• On Affine Registration of 2D Point Sets Using Complex Numbers
  Jeffrey Ho and Ming-Hsuan Yang
  Computer Vision and Image Understanding (CVIU), vol. 115, no. 1, pp. 50-58, 2011.
  [PDF] MATLAB code and data sets

• Online Visual Tracking with Histograms and Articulating Blocks
  S. M. Shahed Nejhum, Jeffrey Ho, and Ming-Hsuan Yang
  Computer Vision and Image Understanding (CVIU), vol. 114, no. 8, pp. 901-914, 2010.
  [PDF] MATLAB code and data sets

• 3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
  Rui Li, Tai-Peng Tian, Stan Sclaroff, and Ming-Hsuan Yang
  International Journal of Computer Vision (IJCV), vol. 87, no. 1-2, pp. 170-190, 2010.
  [PDF]

• Incremental Learning for Robust Visual Tracking
  David Ross, Jongwoo Lim, Ruei-Sung Lin, and Ming-Hsuan Yang
  International Journal of Computer Vision (IJCV), vol. 77, no. 1-3, pp. 125-141, 2008.
  [PDF] MATLAB code and data sets

• Visual Tracking and Recognition Using Probabilistic Appearance Manifolds
  Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, and David Kriegman
  Computer Vision and Image Understanding (CVIU), vol. 99, no. 3, pp. 303-331, 2005.
  [PDF] Data sets

• Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition
  Ming-Hsuan Yang, Narendra Ahuja, and Mark Tabb
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 24, no. 8, pp. 1061-1074, 2002.
  [PDF]

• Learning Gender with Support Faces
  Baback Moghaddam and Ming-Hsuan Yang
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 24, no. 5, pp. 707-711, 2002.
  [PDF]

• Detecting Faces in Images: A Survey
  Ming-Hsuan Yang, David Kriegman, and Narendra Ahuja
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 24, no. 1, pp. 34-58, 2002.
  [PDF] Additional information

• Learning to Recognize Three-Dimensional Objects
  Dan Roth, Ming-Hsuan Yang, and Narendra Ahuja
  Neural Computation, vol. 14, no. 5, pp. 1071-1104, 2002.
  [PDF]

• Face Detection Using Multimodal Density Models
  Ming-Hsuan Yang, David Kriegman, and Narendra Ahuja
  Computer Vision and Image Understanding (CVIU), vol. 84, no. 2, pp. 264-284, 2001.
  [PDF]

Selected Conference Papers

• Structured Face Hallucination
  Chih-Yuan Yang, Sifei Liu, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Portland, June, 2013.
  [PDF] Supplementary Material MATLAB code and data sets

• Online Object Tracking: A Benchmark
  Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Portland, June, 2013.
  [PDF] Supplementary Material MATLAB code and data sets

• Visual Tracking via Locality Sensitive Histograms
  Shengfeng He, Qing-Xiong Yang, Rynson Lau, Jiang Wang, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Portland, June, 2013.
  [PDF] MATLAB code and data sets

• Least Soft-thresold Squares Tracking
  Dong Wang, Huchuan Lu, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Portland, June, 2013.
  [PDF] MATLAB code and data sets

• Saliency Detection via Graph-Based Manifold Ranking
  Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Portland, June, 2013.
  [PDF] MATLAB code and data sets

• Good Regions to Deblur
  Zhe Hu and Ming-Hsuan Yang
  Proceedings of European Conference on Computer Vision (ECCV 2012), vol. 5, pp. 59-72, Florence, Italy, October, 2012.
  [PDF] MALAB code and data sets

• Real-Time Compressive Tracking
  Kaihua Zhang, Lei Zhang, and Ming-Hsuan Yang
  Proceedings of European Conference on Computer Vision (ECCV 2012), vol. 3, pp. 864-877, Florence, Italy, October, 2012.
  [PDF] MALAB/C++ code and data sets

• Fast Non-Uniform Deblurring Using Constrained Camera Pose Subspace
  Zhe Hu and Ming-Hsuan Yang
  Proceedings of British Machine Vision Conference (BMVC 2012), Guildford, United Kingdom, September, 2012.
  [PDF] MALAB code and data sets

• Top-Down Visual Saliency via Joint CRF and Dictionary Learning
  Jimei Yang and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), pp. 2296-2303, Providence, June, 2012.
  [PDF] MATLAB code and data sets

• Robust Object Tracking via Sparsity-based Collaborative Model
  Wei Zhong, Huchuan Lu, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), pp. 1838-1845, Providence, June, 2012.
  [PDF] MATLAB code and data sets

• Visual Tracking via Adaptive Structural Local Sparse Appearance Model
  Xu Jia, Huchuan Lu, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), pp. 1822-1829, Providence, June, 2012.
  [PDF] MATLAB code and data sets

• Online Discriminative Object Tracking with Local Sparse Representation
  Qing Wang, Feng Chen, Wenli Xu, and Ming-Hsuan Yang
  Proceedings of IEEE Workshop on the Applications of Computer Vision (WACV 2012), pp. 425-432, Breckenridge, January, 2012.
  [PDF] MATLAB code and data sets

• Superpixel Tracking
  Shu Wang, Huchuan Lu, Fan Yang, and Ming-Hsuan Yang
  Proceedings of IEEE International Conference on Computer Vision (ICCV 2011), pp. 1323-1330, Barcelona, Spain, November, 2011.
  [PDF] MATLAB code and data sets

• Learning Hierarchical Image Representation with Sparsity, Saliency and Locality
  Jimei Yang and Ming-Hsuan Yang
  Proceedings of British Machine Vision Confernece (BMVC 2011), Dundee, United Kingdom, August, 2011.
  [PDF] MATLAB code and data sets

• An Experimental Comparison of Online Object Tracking Algorithms
  Qing Wang, Feng Chen, Wenli Xu, and Ming-Hsuan Yang
  Proceedings of SPIE: Image and Signal Processing (SPIE 2011), San Diego, August, 2011.
  [PDF] Results

• Online Multiple Support Instance Tracking
  Qiuhong Zhou, Huchuan Lu, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Automatic Face and Gesture Recognition (FG 2011), pp. 545-552, Santa Barbara, March, 2011.
  [PDF] MATLAB code and data sets

• A Direct Method for Estimating Planar Projective Transform
  Yu-Tseh Chi, Jeffrey Ho, and Ming-Hsuan Yang
  Proceedings of Asian Conference on Computer Vision (ACCV 2010), pp. 792-804, Queenstown, New Zealand, November, 2010.
  [PDF] MATLAB code and data sets

• Exploiting Self-Similarities for Single Frame Super-Resolution
  Chih-Yuan Yang, Jia-Bin Huang, and Ming-Hsuan Yang
  Proceedings of Asian Conference on Computer Vision (ACCV 2010), pp. 1807-1818, Queenstown, New Zealand, November, 2010.
  [PDF] MATLAB code and data sets

• Single Image Deblurring with Adaptive Dictionary Learning
  Zhe Hu, Jia-Bin Huang, and Ming-Hsuan Yang
  Proceedings of IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, China, September, 2010.
  [PDF] MATLAB code and data sets

• Traffic Modeling and Prediction Using Camera Sensor Networks
  Zaihong Shuai, Songhwai Oh, and Ming-Hsuan Yang
  Proceedings of ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2010), pp. 49-56, Atlanta, August, 2010.
  [PDF]

• Fast Sparse Representation with Prototypes
  Jia-Bin Huang and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, June, 2010.
  [PDF] MATLAB code and data sets

• An Algebraic Approach to Affine Registration of Point Sets
  Jeffrey Ho, Adrian Peter, Anand Ranganranjan, and Ming-Hsuan Yang
  Proceedings of IEEE International Conference on Computer Vision (ICCV 2009), pp. 1335-1340, Kyoto, Japan, September, 2009.
  [PDF] MATLAB code and data sets

• Estimating Human Pose from Occluded Images
  Jia-Bin Huang and Ming-Hsuan Yang
  Proceedings of Asian Conference on Computer Vision (ACCV 2009), Xian, China, September, 2009.
  [PDF] MATLAB code and data sets

• Visual Tracking with Online Multiple Instance Learning
  Boris Babenko, Ming-Hsuan Yang, and Serge Belongie
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009), pp. 983-990, Miami, June, 2009.
  [PDF] C++ code and data sets

• Online Sparse Matrix Gaussian Process Regression and Vision Applications
  Ananth Ranganathan and Ming-Hsuan Yang
  Proceedings of European Conference on Computer Vision (ECCV 2008), vol. 1, pp. 468-482, Marseille, France, October, 2008.
  [PDF] MATLAB code and data sets

• Higher Dimensional Affine Registration and Vision Applications
  Yu-Tseh Chi, S. M. Shahed Nejhum, Jeffrey Ho, and Ming-Hsuan Yang
  Proceedings of European Conference on Computer Vision (ECCV 2008), vol. 4, pp. 256-269, Marseille, France, October, 2008.
  [PDF]

• Visual Tracking with Histograms and Articulating Blocks
  S. M. Shshed Nejhum, Jeffrey Ho, and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, June, 2008.
  [PDF] MATLAB code and data sets

• Fast Human Pose Estimation Using Appearance and Motion via Multi-Dimensional Boosting Regression
  Alessandro Bissacco, Ming-Hsuan Yang, and Stefano Soatto
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007), Minneapolis, June, 2007.
  [PDF] MATLAB code and data sets

• A New Affine Registration Algorithm for Matching 2D Point Sets
  Jeffrey Ho, Ming-Hsuan Yang, Anand Rangarajan, and Baba Vemuri
  IEEE Workshop on the Applications of Computer Vision (WACV 2007), Austin, February, 2007.
  [PDF]

• Detecting Humans via Their Pose
  Alessandro Bissacco, Ming-Hsuan Yang, and Stefano Soatto
  Advances in Neural Information Processing Systems 19 (NIPS 2006), B. Scholkopf, J. Platt, and T. Hofmann (eds), MIT Press, 2007.
  [PDF]

• Dynamic Texture Synthesis as Nonlinear Manifold Learning and Traversing
  Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja, and Ming-Hsuan Yang
  Proceedings of British Machine Vision Conference (BMVC 2006), vol. 2, pp. 859-868, Edinburgh, United Kingdom, September, 2006.
  [PDF]

• Integrating Surface Normal Vectors Using Fast Marching Method
  Jeffrey Ho, Jongwoo Lim, Ming-Hsuan Yang, and David Kriegman
  Proceedings of European Conference on Computer Vision (ECCV 2006), vol. 2, pp. 245-256, Graz, Austria, May, 2006.
  [PDF]

• Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
  Rui Li, Ming-Hsuan Yang, Stan Sclaroff, and Tai-Peng Tian
  Proceedings of European Conference on Computer Vision (ECCV 2006), vol. 2, pp. 137-150, Graz, Austria, May, 2006.
  [PDF] MATLAB code and data sets

• Learning Nonlinear Manifolds from Time Series
  Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Narendra Ahuja, and Steven Levinson
  Proceedings of European Conference on Computer Vision (ECCV 2006), vol. 3, pp. 239-250, Graz, Austria, May, 2006.
  [PDF]

• Passive Photometric Stereo from Motion
  Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, and David Kriegman
  Proceedings of IEEE International Conference on Computer Vision (ICCV 2005), vol. 2, pp. 1635-1642, Beijing, China, October, 2005.
  [PDF]

• A Direct Method for Modeling Non-Rigid Motion with Thin Plate Spline
  Jongwoo Lim and Ming-Hsuan Yang
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2005), vol. 1, pp. 1196-1202, San Diego, June, 2005.
  [PDF]

• Learning to Estimate Human Pose with Data Driven Belief Propagation
  Gang Hua, Ming-Hsuan Yang, and Ying Wu
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2005), vol. 2, pp. 747-754, San Diego, June, 2005.
  [PDF]

• Incremental Learning for Visual Tracking
  Jongwoo Lim, David Ross, Ruei-Sung Lin, and Ming-Hsuan Yang
  Advances in Neural Information Processing Systems 17 (NIPS 2004), L. Saul, Y. Weiss, and L. Bottou (eds), pp. 793-800, MIT Press, 2005.
  [PDF] MATLAB code and data sets

• Adaptive Discriminative Generative Model and Its Applications
  Ruei-Sung Lin, David Ross, Jongwoo Lim, and Ming-Hsuan Yang
  Advances in Neural Information Processing Systems 17 (NIPS 2004), L. Saul, Y. Weiss, and L. Bottou (eds), pp. 801-808, MIT Press, 2005.
  [PDF] Project webpageweb

• Visual Tracking Using Learned Subspaces
  Jeffrey Ho, Kuang-Chih Lee, Ming-Hsuan Yang, and David Kriegman
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2004), vol. 1, pp. 782-789, Washington, D. C., June, 2004.
  [PDF]

• Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
  Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, and Stefano Soatto
  Proceedings of European Conference on Computer Vision (ECCV 2004), vol. 1, pp. 215-227, Prague, Czech Republic, May, 2004.
  [PDF]

• Image Clustering with Metric, Local Linear Structure and Affine Symmetry
  Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Chih Lee, and David Kriegman
  Proceedings of European Conference on Computer Vision (ECCV 2004), vol. 1, pp. 456-468, Prague, Czech Republic, May, 2004.
  [PDF]

• Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
  David Ross, Jongwoo Lim, and Ming-Hsuan Yang
  Proceedings of European Conference on Computer Vision (ECCV 2004), vol. 2, pp. 470-482, Prague, Czech Republic, May, 2004.
  [PDF]

• Clustering Appearance of Objects Under Varying Illumination Conditions
  Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Chih Lee, and David Kriegman
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2003), vol. 1, pp. 11-18, Madison, June, 2003.
  [PDF]

• Video-Based Face Recognition Using Probabilistic Appearance Manifolds
  Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, and David Kriegman
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2003), vol. 1, pp. 313-320, Madison, June, 2003.
  [PDF] Data set

• Extended Isomap for Pattern Classification
  Ming-Hsuan Yang
  Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI 2002), pp. 224-229, Edmonton, Canada, July, 2002.
  [PDF]

• A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
  Ming-Hsuan Yang, Dan Roth, and Narendra Ahuja
  Proceedings of European Conference on Computer Vision (ECCV 2002), Lecture Notes in Computer Science vol. 2353, pp. 685-699, Springer Verlag Copenhagen, Denmark, May, 2002.
  [PDF]

• Kernel Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods
  Ming-Hsuan Yang
  Proceedings of the Fifth International Conference on Automatic Face and Gesture Recognition (FG 2002), pp. 215-220, Washington D. C., May, 2002.
  [PDF]

• Face Recognition Using Kernel Methods
  Ming-Hsuan Yang
  Advances in Neural Information Processing Systems 14 (NIPS 2001) , T. G. Dietterich, S. Becker and Z. Ghahramani (eds), pp. 215-220, MIT Press, 2002.
  [PDF]

• Sex with Support Vector Machines
  Baback Moghaddam and Ming-Hsuan Yang
  Advances in Neural Information Processing Systems 13 (NIPS 2000), T. K. Leen, T. G. Dietterich and V. Tresp (eds), pp. 960-966, MIT Press, 2001.
  [PDF]

• Learning to Recognize 3D Objects With SNoW
  Ming-Hsuan Yang, Dan Roth, and Narendra Ahuja
  Proceedings of European Conference on Computer Vision (ECCV 2000) , vol. 1, pp. 439-454, Dublin, Ireland, June, 2000.
  [PDF]

• A Geometric Approach to Train Support Vector Machines
  Ming-Hsuan Yang and Narendra Ahuja
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2000), vol. 1, pp. 430-437, Hilton Head Island, June, 2000.
  [PDF]

• Learning to Recognize Objects
  Dan Roth, Ming-Hsuan Yang, and Narendra Ahuja
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2000), vol. 1, pp. 724-731, Hilton Head Island, June, 2000.
  [PDF]

• Face Detection Using Mixtures of Linear Subspaces
  Ming-Hsuan Yang, Narendra Ahuja, and David Kriegman
  Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), pp. 70-76, Grenoble, France, March, 2000.
  [PDF]

• Gender Classification with Support Vector Machines
  Baback Moghaddam and Ming-Hsuan Yang
  Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), pp. 306-311, Grenoble, France, March, 2000.
  [PDF]

• A SNoW-Based Face Detector
  Ming-Hsuan Yang, Dan Roth, and Narendra Ahuja
  Advances in Neural Information Processing Systems 12 (NIPS 1999), S. A. Solla, T.K. Leen and K.-R. Muller (eds), pp. 855-861, MIT Press, 2000.
  [PDF]

• Recognizing Hand Gestures Using Motion Trajectories
  Ming-Hsuan Yang and Narendra Ahuja
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 1999), vol. 1, pp. 466-472, Fort Collins, June, 1999.
  [PDF]

• Extraction and Classification of Visual Motion Patterns for Hand Gesture Recognition
  Ming-Hsuan Yang and Narendra Ahuja
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 1998), pp. 892-897, Santa Barbara, June, 1998.
  [PDF]

• Extracting Gestural Motion Trajectory
  Ming-Hsuan Yang and Narendra Ahuja
  Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition (FG 1998), pp. 10-15, Nara, Japan, April, 1998.
  [PDF]