Publication

Books, Book Chapters, Journals and Conferences

2014

  • Yun Fu, Low-Rank and Sparse Modeling for Visual Analysis, Springer, 2014 (in press)
  • Yuan Yao, Fan Zhang, and Yun Fu, Realtime Hand-Gesture Recognition Using RGB-D Sensor, in Computer Vision and Machine Learning with RGB-D Sensors, L. Shao, J. Han, P. Kohli, and Z. Zhang (Eds.), Springer-Verlag, 2014. (in press)
  • Yun Fu, Human-Centered Social Media Analytics, Springer, 2013 (in press)
  • Yu Kong, Yunde Jia and Yun Fu, Interactive Phrases: Semantic Descriptions for Human Interaction Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Volume:, Issue:, Page(s):, 2014.
  • Ming Shao, Dmitry Kit, and Yun Fu, Generalized Transfer Subspace Learning through Low-Rank Constraint, International Journal of Computer Vision (IJCV), Volume:, Issue:, Page(s):, 2014.
  • Kang Li and Yun Fu, Prediction of Human Activity by Discovering Temporal Sequence Patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Volume:, Issue:, Page(s):, 2014.
  • Yuan Yao and Yun Fu, Contour Model based Hand-Gesture Recognition Using Kinect Sensor, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), Volume:, Issue:, Page(s):, 2014.
  • Chengcheng Jia, Guoqiang Zhong, and Yun Fu, Low-Rank Tensor Completion with Discriminant Analysis for Action Classification, Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014 (Oral Presentation)
  • Zhengming Ding, Ming Shao, and Yun Fu, Latent Low-Rank Bi-Directional Transfer Subspace Learning, Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014
  • Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, and Yun Fu, LEARNING RELATIVE FEATURES THROUGH ADAPTIVE POOLING FOR IMAGE CLASSIFICATION, IEEE International Conference on Multimedia and Expo (ICME), 2014
  • Shuyang Wang, Jinzheng Sha, Huaiyu Wu, and Yun Fu, HIERARCHICAL FACIAL EXPRESSION ANIMATION BY MOTION CAPTURE DATA, IEEE International Conference on Multimedia and Expo (ICME), 2014
  • Mohammad Soleymani, Sadjad Asghari-Esfeden, Maja Pantic, and Yun Fu, CONTINUOUS EMOTION DETECTION USING EEG SIGNALS AND FACIAL EXPRESSIONS, IEEE International Conference on Multimedia and Expo (ICME), 2014
  • Sheng Li and Yun Fu, Robust Subspace Discovery through Supervised Low-Rank Constraints, SIAM International Conference on Data Mining (SDM), 2014

2013

  • Yun Fu and Yunqian Ma, “Graph Embedding for Pattern Classification,” Springer, 2013
  • Haomian Zheng, Zhu Li, Yun Fu, Aggelos K.Katsaggelos, and Jane You, “Video Activity Recognition by Luminance Differential Trajectory and Aligned Projection Distance,” volume 31, Handbook of Statistics, C.R.Rao and Venu Govindaraju (Eds.), 2013
  • Xu Zhao, Xiong Li, Zhe Wu, Yun Fu, and Yuncai Liu, Multiple Subcategories Parts-Based Representation for One Sample Face Identification, IEEE Transactions on Information Forensics and Security (T-IFS), Volume:, Issue:, Page(s):, 2013.
  • Ming Shao, Liangyue Li, and Yun Fu, What Do You Do? Recognize Occupations in a Photo via Social Context, International Conference on Computer Vision (ICCV), 2013
  • Ming Shao, Yizhe Zhang, Edward Wong and Yun Fu, Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition, International Conference on Computer Vision (ICCV), 2013
  • Xu Zhao, Yuncai Liu and Yun Fu, Exploring Discriminative Pose Sub-Patterns for Effective Action Classification, ACM Multimedia(MM), 2013 (Full Paper)
  • Ming Shao, Liangyue Li, and Yun Fu, Predicting Professions through Probabilistic Model under Social Context, Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2013
  • Sheng Li and Yun Fu, “Low-Rank Coding with b-Matching Constraint for Semi-supervised Classification,” International Joint Conference on Artificial Intelligence (IJCAI), 2013
  • Liangyue Li, Sheng Li, and Yun Fu, “Discriminative Dictionary Learning with Low-Rank Regularization for Face Recognition,” IEEE Conference on Automatic Face and Gesture Recognition (FG), 2013 (Oral Presentation, Image and Vision Computing Journal special issue on “The Best of Face and Gesture 2013″)
  • Ming Shao and Yun Fu, “Hierarchical Hyperlingual-Words for Multi-Modality Face Classification,” IEEE Conference on Automatic Face and Gesture Recognition (FG), 2013
  • Mingbo Ma, Ming Shao, Xu Zhao, and Yun Fu, “Prototype Based Feature Learning for Face Image Set Classification,” IEEE Conference on Automatic Face and Gesture Recognition (FG), 2013
  • Gaurav  Srivastava, Ming Shao, and Yun Fu, “Low-Rank Embedding for Semisupervised Face Classification,” IEEE Conference on Automatic Face and Gesture Recognition (FG), 2013
  • Jie Hu, Yu Kong, and Yun Fu, “Behavior Recognition by Learning Structural and Pairwise Mid-level Features Using Random Forest,” IEEE Conference on Automatic Face and Gesture Recognition (FG), 2013

 

2012

  • Rama Chellappa, Andrea Cavallaro, Ying Wu, Caifeng Shan, Yun Fu, and Kari Pulli, “Special Issue on Video Analysis on Resource-Limited Systems,” IEEETransactions on Circuits and Systems for Video Technology (T-CSVT), 2012.
  • Yun Fu, Xian-Sheng Hua, Zhu Li, Aggelos K. Katsaggelos, and Thomas S. Huang, “Special Issue on Subspace and Manifold Learning for Image and Video Indexing and Searching,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (T-SMC-B), 2012.
  • Gang Hua, Yun Fu, Matthew Turk, Marc Pollefeys, and Zhengyou Zhang, “Introduction to the Special Issue on Mobile Vision,” International Journal of Computer Vision (IJCV), vol. 96, no. 3, pp. 277-279, 2012.
  • Siyu Xia, Ming Shao, Jiebo Luo, and Yun Fu, “Understanding Kin Relationships in a Photo”, IEEE Transactions on Multimedia (T-MM), 2012.
  • Junsong Yuan, Gangqiang Zhao, Yun Fu, Zhu Li, Aggelos K. Katsaggelos, and Ying Wu, “Discovering Thematic Objects in Images and Videos: a Bottom-up Approach,” IEEE Transactions on Image Processing (T-IP), 2012.
  • Ya Su, Yun Fu, Xinbo Gao, and Qi Tian, “Discriminant Learning through Multiple Principal Angles for Visual Recognition,” IEEE Transactions on Image Processing (T-IP), vol. 21, no. 3, pp. 1381-1390, 2012.
  • Chunxiao Zhou, Jiseong Park, and Yun Fu, “Fast Resampling Weighted v-Statistics,” Neural Information Processing Systems (NIPS), 2012 (Spotlight Presentation)
  • Kang Li, Jie Hu, and Yun Fu, “Modeling Complex Temporal Composition of Actionlets for Activity Prediction”, European Conference on Computer Vision (ECCV), 2012
  • Yu Kong, Yunde Jia, and Yun Fu, “Learning Human Interaction by Interactive Phrases”, European Conference on Computer Vision (ECCV), 2012
  • Kang Li, Sangmin Oh, A. G. Amitha Perera, and Yun Fu, “A Videography Analysis Framework for Video Retrieval and Summarization,” British Machine Vision Conference (BMVC), 2012. (Oral Presentation)
  • Zhi Yang, Yu Kong, and Yun Fu, “Contour-HOG: A Stub Feature based Level Set Method for Learning Object Contour,” British Machine Vision Conference (BMVC), 2012.
  • Ming Shao, Carlos Castillo, Zhenghong Gu, and Yun Fu, “Low-Rank Transfer Subspace Learning,” IEEE International Conference on Data Mining series (ICDM), 2012
  • Siyu Xia, Ming Shao, and Yun Fu, “Toward Kinship Verification Using Visual Attributes,” IEEE International Conference on Pattern Recognition (ICPR), 2012.(Oral Presentation)
  • Devansh Arpit, Gaurav Srivastava, and Yun Fu, “Locality-constrained Low Rank Coding for Face Recognition,” IEEE International Conference on Pattern Recognition (ICPR), 2012. (Oral Presentation)
  • Zhi Yang, Yu Kong, and Yun Fu, “Decomposed Contour Prior for Shape Recognition,” IEEE International Conference on Pattern Recognition (ICPR), 2012.
  • Zhenghong Gu, Ming Shao, Liangyue Li, and Yun Fu, “Discriminative Metric: Schatten Norm vs. Vector Norm,” IEEE International Conference on Pattern Recognition (ICPR), 2012.
  • Ya Su, Shengjin Wang, and Yun Fu, “Evaluation of Canonical Correlation Analysis: A Correlation Generation Model,” IEEE International Conference on Pattern Recognition (ICPR), 2012.
  • Ya Su, Shengjin Wang, and Yun Fu, “Submanifold Decomposition,” IEEE International Conference on Pattern Recognition (ICPR), 2012.
  • Kang Li and Yun Fu, “ARMA-HMM: A New Approach for Human Activity Prediction,” IEEE International Conference on Pattern Recognition (ICPR), 2012
  • Yuan Yao, Yuan Yao, and Yun Fu, Real-Time Hand Pose Estimation From RGB-D Sensor, IEEE International Conference on Multimedia & Expo (ICME), 2012.

 

2011

  • Yunqian Ma and Yun Fu, “Manifold Learning Theory and Applications,” CRC Press, 2011.
  • Yun Fu, Shuicheng Yan, and Thomas S. Huang, “Special Issue on Feature-Oriented Image and Video Computing for Extracting Contexts and Semantics,” Computer Vision and Image Understanding (CVIU), vol. 115, no. 3, pp. 289, 2011.
  • Rama Chellappa, Andrea Cavallaro, Ying Wu, Caifeng Shan, Yun Fu, and Kari Pulli, “Special Issue on Video Analysis on Resource-Limited Systems,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 21, no. 10, pp. 1349-1352, 2011.
  • Xu Zhao, Yun Fu, and Yuncai Liu, “Human Motion Tracking by Temporal-Spatial Local Gaussian Process Experts,” IEEE Transactions on Image Processing (T-IP), vol. 20, no. 4, pp. 1141-1151, 2011.
  • Xu Zhao, Kai-Hsiang Lin, Yun Fu, Yuxiao Hu, Yuncai Liu, and Thomas S. Huang, “Text from Corners: A Novel Approach to Detect Text and Caption in Videos,” IEEE Transactions on Image Processing (T-IP), vol. 20, no. 3, pp. 790-799, 2011.
  • Siyu Xia, Ming Shao and Yun Fu, “Kinship Verification through Transfer Learning,” International Joint Conferences on Artificial Intelligence (IJCAI), pp. 2539-2544, 2011.
  • Pradipto Das, Rohini Srihari and Yun Fu, “Simultaneous Joint and Conditional Modeling of Documents Tagged from Two Perspectives,” ACM Conference on Information and Knowledge Management (CIKM), pp. 1353-1362, 2011. (Full paper, Oral Presentation, Acceptance Rate: 15%)
  • Wei Chen, Ming Shao, and Yun Fu, “Clustering Based Fast Low-Rank Approximation for Large-Scale Graph,” IEEE International Conference on Data Mining (ICDM), Workshop on Large Scale Visual Analytics, pp. 787-792, 2011. (Oral Presentation, Best Paper Award)
  • Ming Shao, Siyu Xia and Yun Fu, “Genealogical Face Recognition based on UB KinFace Database,” IEEE CVPR Workshop on Biometrics (CVPR’11 BIOM), 2011. (Oral Presentation)
  • Perera, S. Oh, M. Leotta, I. Kim, B. Byun, C.-H. Lee, S. McCloskey, J. Liu, B. Miller, Z. F. Huang, A. Vahdat, W. Yang, G. Mori, K. Tang, D. Koller, L. Fei-Fei, K. Li, G. Chen, J. J. Corso, Yun Fu, and R. K. Srihari. “GENIE TRECVID2011 multimedia event detection: Late-fusion approaches to combine multiple audio-visual features.” In NIST TRECVID Workshop, 2011.

 

2010

  • Yun Fu and Thomas S. Huang, “Manifolds and Subspace Learning for Pattern Recognition”, in Pattern Recognition and Machine Vision – In Honor and Memory of Professor King-Sun Fu, Patrick Shen-pei Wang (Ed.), Chapter 14, pages 215–229, 2010. (Invited Chapter)
  • Yun Fu, Jilin Tu, Hao Tang, and Thomas S. Huang, “Human-Centered Face Computing in Multimedia Interaction and Communication”, in Intelligent Multimedia Communication: Techniques and Applications, C.W. Chen, Z. Li and S. Liang (Eds.), Springer-Verlag, 2010. (Invited Chapter)
  • Yun Fu, Guodong Guo, and Thomas S. Huang, “Age Synthesis and Estimation via Faces: A Survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 32 no. 11, pp. 1955-1976, 2010.
  • Xu Zhao, Yun Fu, Huazhong Ning, Yuncai Liu, and Thomas S. Huang, “Human Pose Regression through Multiview Visual Fusion,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 20, no. 7, pp. 957-966, 2010.
  • Bin Cheng, Jianchao Yang, Shuicheng Yan, Yun Fu, and Thomas Huang, “Learning with L1-Graph for Image Analysis,” IEEE Transactions on Image Processing (T-IP), vol. 19, no. 4, pp. 858-866, 2010.
  • Xin Geng, Yun Fu, and Kate Smith-Miles, “Automatic Facial Age Estimation,” The Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2010
  • Anurag Bhardwaj, Achint Thomas, Yun Fu and Venu Govindaraju, “Retrieving Handwriting Styles: A Content Based Approach to Handwritten Document Retrieval,” The 2nd International Conference on Frontiers in Handwriting Recognition (ICFHR’10), Kolkota, India, Nov. 2010. (Oral Presentation, Best Paper Award)
  • Werner Ceusters, Jason Corso, Yun Fu, Michalis Petropoulos, and Venkat Krovi, “Introducing Ontological Realism for Semi-Supervised Detection and Annotation of Operationally Significant Activity in Surveillance Videos,” The Fifth International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS’10), Fairfax, VA, October 27-28, 2010. (Oral Presentation)
  • Xiong Li, Xu Zhao, Yun Fu, and Yuncai Liu, “Bimodal Gender Recognition from Face and Fingerprint”, IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR’10), 2010.
  • Zhen Li, Yun Fu, and Thomas S. Huang, “A Robust Framework for Multiview Age Estimation,” IEEE International Workshop on Analysis and Modeling of Faces and Gestures (CVPR’10-AMFG), 2010. (Oral Presentation)
  • Yan Zhu, Xu Zhao, Yun Fu, and Yuncai Liu, “Sparse Coding on Local Spatial-Temporal Volumes for Human Action Recognition,” The 10th Asian Conference on Computer Vision (ACCV’10), 2010.
  • Xiong Li, Xu Zhao, Huanxi Liu, Yun Fu, and Yuncai Liu, “Multimodality Gender Estimation using Bayesian Hierarchical Model”, IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP’10), 2010. (Oral Presentation)
  • Ya Su, Yun Fu, Qi Tian, and Xinbo Gao, “Cross-Database Age Estimation based on Transfer Learning”, IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP’10), 2010.
  • Yuxiao Hu, Yun Fu, Usman Tariq, and Thomas S. Huang, “Subjective Experiments on Gender and Ethnicity Recognition from Different Face Representations”, The 16th Int’l Conf on Mutli-Media Modeling (MMM), 2010. (Oral Presentation)
  • Xiong Li, Xu Zhao, Yun Fu, and Yuncai Liu, “Weak Metric Learning for Feature Fusion towards Perception-Inspired Object Recognition”, The 16th Int’l Conf on Mutli-Media Modeling (MMM), 2010. (Oral Presentation)
  • Mert Dikmen, Dennis J. Lin, Andrey Del Pozo, Liang Liang Cao, Yun Fu, and Thomas S. Huang, “A Study on Sampling Strategies in Space-Time Domain for Recognition Applications”, The 16th Int’l Conf on Mutli-Media Modeling (MMM), 2010. (Oral Presentation)