Thomas Huang

Description

Address

  • 2039 Beckman Institute
  • 405 North Mathews Avenue
  • Urbana, Illinois 61801

Biography

Thomas Huang received his Sc.D. from MIT in 1963. He is William L. Everitt Distinguished Professor in the U of I Department of Electrical and Computer Engineering and the Coordinated Science Lab (CSL); and a full-time faculty member in the Beckman Institute Image Formation and Processing and Artificial Intelligence groups. His professional interests are computer vision, image compression and enhancement, pattern recognition, and multimodal signal processing.

Honors

Swanlund Chair, University of Illinois (2012), “Most Cited Paper of the Decade Award” from the Journal of Visual Communication and Image Representation, (2010), Member, National Academy of Engineering Foreign Member, Chinese Academy of Engineering Foreign Member, Chinese Academy of Sciences; IEEE Jack S. Kilby Signal Processing Medal (2000) (co-recipient with A. Netravali); Int. Asso. of Pattern Recognition, King-Sun Fu Prize (2002); Honda Lifetime Achievement Award (2000); Professor, Center for Advanced Study, UIUC; IEEE Third Millennium Medal (2000); Honda Lifetime Achievement Award (2000); Keynote Speaker, International Workshop on Gesture, March 17-19, Paris, France (1999); Keynote Speaker, International Conference on Audio and Visual-based Biometric Person Identification, March 22-24, Washington, DC (1999); Keynote Speaker, IEEE International Neuronets for Signal Processing Workshop, August 23-25, Madison, WI (1999); Keynote Speaker, International Conference on Image Analysis and Processing (CAIP), Sept. 1-3, Ljubljana, Slovenia (1999).

Research

Thomas Huang's current research interests lie in three closely related areas:

  1. Multimodal human-computer interface, esp. the use of speech- and vision-based techniques in developing more natural and effective interfaces as alternatives to complements of conventional interfaces such as the keyboard and the mouse. Research projects include the integration of speech recognition and visual gesture analysis in controlling display in virtual environments; and the use of visual lip reading to enhance audio speech recognition accuracy.
  2. 3-D modeling, analysis, and synthesis (animation) of human face, hands, and body. The original motivation for this research is very low bitrate 3-D model-based video coding, esp. for video phone and teleconferencing scenarios. The idea is that if a 3-D model of the user at the transmitting end is constructed at the receiving end, then only the movement information needs to be extracted at the transmitting end and sent to the receiving end, where this information is used to drive the 3-D model and to regenerate the video sequence. Obviously, the tools developed for these scenarios are applicable to many other problems, such as virtual space conferencing with avatars, and electronic games.
  3. Multimedia (images, video, audio, text) databases. Of special interest are the use of relevance feedback in adapting the databases system to user intentions (when browsing or searching), and the construction of a table of contents and a semantic index for video using multimedia information (image sequence, audio, and closed-captions if available). Although the above problems are application motivated, the main goal is to develop general concepts, methodologies, theories, and algorithms which would be widely applicable to multimodal and multimedia signal processing in general.

Huang's research support includes the NSF, DOD, UIUC Research Board, and a number of industrial firms.

Publications

  • 2015
    • Wang, Z. Y.; Nasrabadi, N. M.; Huang, T. S., Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning with Laplacian Regularization. IEEE Transactions on Geoscience and Remote Sensing 2015, 53, (3), 1161-1173, DOI:10.1109/Tgrs.2014.2335177.

    • Qi, G. J.; Aggarwal, C. C.; Huang, T. S., Breaking the Barrier to Transferring Link Information across Networks. IEEE Transactions on Knowledge and Data Engineering 2015, 27, (7), 1741-1753.
    • Wang, Z. Y.; Yang, Y. Z.; Wang, Z. W.; Chang, S. Y.; Yang, J. C.; Huang, T. S., Learning Super-Resolution Jointly from External and Internal Examples. IEEE Transactions on Image Processing 2015, 24, (11), 4359-4371.
  • 2014
    • Kim, K.; Lin, K. H.; Walther, D. B.; Hasegawa-Johnson, M. A.; Huang, T. S., Automatic Detection of Auditory Salience with Optimized Linear Filters Derived from Human Annotation. Pattern Recognition Letters 2014, 38, 78-85, DOI: 10.1016/j.patrec.2013.11.010.

    • Sun, F. M.; Tang, J. H.; Li, H. J.; Qi, G. J.; Huang, T. S., Multi-Label Image Categorization with Sparse Factor Representation. IEEE Transactions on Image Processing 2014, 23, (3), 1028-1037, DOI: 10.1109/tip.2014.2298978.

    • Wang, Z. W.; Nasrabadi, N. M.; Huang, T. S., Spatial-Spectral Classification of Hyperspectral Images Using Discriminative Dictionary Designed by Learning Vector Quantization. IEEE Transactions on Geoscience and Remote Sensing 2014, 52, (8), 4808-4822, DOI: 10.1109/tgrs.2013.2285049.

    • Yang, Y. Z.; Liang, F.; Huang, T. S., Discriminative Exemplar Clustering. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014.

    • Yang, Y. Z.; Chu, X. Q.; Ng, T. T.; Chia, A. Y. S.; Yang, J. C.; Jin, H. L.; Huang, T. S., Epitomic Image Colorization. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014.

    • Tsai, S. F.; Qi, G. J.; Chang, S.; Tsai, M. H.; Huang, T. S., Clustering Multimedia Data. Data Clustering:  Algorithms and Applications 2014, 339-356.

    • Tariq, U.; Yang, J. C.; Huang, T. S., Supervised Super-Vector Encoding for Facial Expression Recognition. Pattern Recognition Letters 2014, 46, 89-95, DOI:10.1016/j.patrec.2014.05.011.

  • 2013
    • Chang, S. Y.; Qi, G. J.; Tang, J. H.; Tian, Q.; Rui, Y.; Huang, T. S., Multimedia Lego: Learning Structured Model by Probabilistic Logic Ontology Tree, In 2013 IEEE 13th International Conference on Data Mining. Xiong, H., Karypis, G., Thuraisingham, B., Cook, D., Wu, X., Eds.; IEEE, New York, 2013, 979-984.

    • He, X.; Huang, T.; Xiao, L. F.; Tian, H. T.; Young, E. F. Y., Ripple: A Robust and Effective Routability-Driven Placer. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2013, 32, (10), 1546-1556, DOI: 10.1109/tcad.2013.2265371.

    • Li, Z.; Chang, S. Y.; Liang, F.; Huang, T. S.; Cao, L. L.; Smith, J. R.; Learning Locally-Adaptive Decision Functions for Person Verification, In 2013 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, New York, 2013, 3610-3617.

    • Lin, K. H.; Zhuang, X. D.; Goudeseune, C.; King, S.; Hasegawa-Johnson, M.; Huang, T. S., Saliency-Maximized Audio Visualization and Efficient Audio-Visual Browsing for Faster-Than-Real-Time Human Acoustic Event Detection. ACM Transactions on Applied Perception 2013, 10, (4), DOI: 10.1145/2536764.2536773.

    • Wang, Z. W.; Nasrabadi, N.; Huang, T.; Discriminative and Compact Dictionary Design for Hyperspectral Image Classification Using Learning VQ Framework, In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, New York, 2013, 3427-3431.

    • Yu, X. Y.; Wang, J. P.; Kays, R.; Jansen, P. A.; Wang, T. J.; Huang, T., Automated Identification of Animal Species in Camera Trap Images. EURASIP Journal on Image and Video Processing 2013, DOI: 10.1186/1687-5281-2013-52.

    • Zhang, H. C.; Yang, J. C.; Zhang, Y. N.; Huang, T. S., Image and Video Restorations via Nonlocal Kernel Regression. IEEE Transactions on Cybernetics 2013, 43, (3), 1035-1046, DOI: 10.1109/tsmcb.2012.2222375.

    • Zhang, H. C.; Zhang, Y. N.; Huang, T. S., Pose-Robust Face Recognition via Sparse Representation. Pattern Recognition 2013, 46, (5), 1511-1521, DOI: 10.1016/j.patcog.2012.10.025.

    • Zhang, H. C.; Zhang, Y. N.; Huang, T. S., Pose-Robust Face Recognition via Sparse Representation. Pattern Recognition 2013, 46, (5), 1511-1521.

    • Zhang, H. C.; Zhang, Y. N.; Huang, T. S., Simultaneous Discriminative Projection and Dictionary Learning for Sparse Representation Based Classification. Pattern Recognition 2013, 46, (1), 346-354.

    • Zhang, Y. N.; Zhang, H. C.; Nasrabadi, N. M.; Huang, T. S., Multi-Metric Learning for Multi-Sensor Fusion Based Classification. Information Fusion 2013, 14, (4), 431-440, DOI: 10.1016/j.inffus.2012.05.002.

  • 2012
    • Fu, Y.; Hua, X. S.; Li, Z.; Katsaggelos, A. K.; Huang, T. S., Special Issue on Subspace and Manifold Learning for Image and Video Indexing and Search. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics 2012, 42, (2), 294-297.

    • Liu, H. F.; Wu, Z. H.; Li, X. L.; Cai, D.; Huang, T. S., Constrained Nonnegative Matrix Factorization for Image Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 2012, 34, (7), 1299-1311.

    • Qi, G. J.; Aggarwal, C.; Tian, Q.; Ji, H.; Huang, T. S., Exploring Context and Content Links in Social Media: A Latent Space Method. IEEE Transactions on Pattern Analysis and Machine Intelligence 2012, 34, (5), 850-862.

    • Tang, H.; Chu, S. M.; Hasegawa-Johnson, M.; Huang, T. S., Partially Supervised Speaker Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 2012, 34, (5), 959-971.

    • Zhang, H. C.; Nasrabadi, N. M.; Zhang, Y. N.; Huang, T. S., Joint Dynamic Sparse Representation for Multi-View Face Recognition. Pattern Recognition 2012, 45, (4), 1290-1298.

    • Cao, L. L.; Jin, X.; Yin, Z. J.; Del Pozo, A.; Luo, J. B.; Han, J. W.; Huang, T. S., Rank Compete: Simultaneous Ranking and Clustering of Information Networks. Neurocomputing 2012, 95, 98-104.

    • Huang, T. S., Can the World-Wide Web Bridge the Semantic Gap? Image and Vision Computing 2012, 30, (8), 463-464.

    • Qi, G. J.; Tsai, M. H.; Tsai, S. F.; Cao, L. L.; Huang, T. S., Web-Scale Multimedia Information Networks. Proceedings of the IEEE 2012, 100, (9), 2688-2704.

    • Tariq, U.; Lin, K. H.; Li, Z.; Zhou, X.; Wang, Z. W.; Le, V.; Huang, T. S.; Lv, X. T.; Han, T. X., Recognizing Emotions from an Ensemble of Features. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics 2012, 42, (4), 1017-1026.

    • Yang, J. C.; Luo, J. B.; Yu, J.; Huang, T. S., Photo Stream Alignment and Summarization for Collaborative Photo Collection and Sharing. IEEE Transactions on Multimedia 2012, 14, (6), 1642-1651.

    • Zhang, H. C.; Zhang, Y. N.; Li, H. S.; Huang, T. S., Generative Bayesian Image Super Resolution with Natural Image Prior. IEEE Transactions on Image Processing 2012, 21, (9), 4054-4067.

    • Zhang, H. C.; Zhang, Y. N.; Nasrabadi, N. M.; Huang, T. S., Joint-Structured-Sparsity-Based Classification for Multiple-Measurement Transient Acoustic Signals. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics 2012, 42, (6), 1586-1598.

  • 2011
    • Zhang, L. J.; Chen, C.; Bu, J. J.; Cai, D.; He, X. F.; Huang, T. S., Active Learning Based on Locally Linear Reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence 2011, 33, (10), 2026-2038.

    • Zhuang, X. D.; Zhou, X.; Hasegawa-Johnson, M. A.; Huang, T. S., Efficient Object Localization with Variation-Normalized Gaussianized Vectors, In Intelligent Video Event Analysis and Understanding; Zhang, J., Shao, L., Zhang, L., Jones, G. A., Eds. 2011; Vol. 332, 93-109.

    • Yin, Z.; Cao, L.; Han, J.; Luo, J.; Huang, T. S., Diversified Trajectory Pattern Ranking in Geo-Tagged Social Media, SIAM International Conference on Data Mining, Mesa, AZ, 2011.

    • Yin, Z.; Cao, L.; Han, J.; Zhai, C.; Huang, T. S., Geographical Topic Discovery and Comparison, World Wide Web, Hyderabad, India, 2011.

    • Zhang, H.; Nasrabadi, N.; Huang, T. S.; Zhang, Y. Transient Acoustic Signal Classification using Joint Sparse Representation, International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic, 2011.

    • Zhao, X.; Lin, K. H.; Fu, Y.; Hu, Y. X.; Liu, Y. C.; Huang, T. S., Text From Corners: A Novel Approach to Detect Text and Caption in Videos. IEEE Transactions on Image Processing 2011, 20, (3), 790-799.

    • Cai, D.; He, X. F.; Han, J. W.; Huang, T. S., Graph Regularized Nonnegative Matrix Factorization for Data Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 2011, 33, (8), 1548-1560.

    • Hua, G.; Yang, M. H.; Learned-Miller, E.; Ma, Y.; Turk, M.; Kriegman, D. J.; Huang, T. S., Introduction to the Special Section on Real-World Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 2011, 33, (10), 1921-1924.

    • Cao, L.; Qi, G.-J.; Tsai, S. F.; Tsai, M.-H.; Del Pozo, A.; Huang, T. S.; Lim, S.; Zhang, X., Multimedia Information Network: Structure, Inference and Applications. In Social Network Data Analytics, Aggarwal, C., Ed. Kluwer Academic Publishers: 2011.

    • Fu, Y. R.; Yan, S. C.; Huang, T. S., Special Issue on Feature-Oriented Image and Video Computing for Extracting Contexts and Semantics. Computer Vision and Image Understanding 2011, 115, (3), 289-289.

    • Qi, G.-J.; Aggarwal, C.; Huang, T. S., Towards Cross-Domain Knowledge Propagation from Text Corpus to Web Images, Proceedings International World Wide Web Conference (WWW 2011), Hyderabad, India, 2011.

    • Qi, G.-J.; Aggarwal, C.; Rui, Y.; Tian, Q.; Chang, S.; Huang, T. S., Towards Cross-Category Knowledge Propagation for Learning Visual Concepts, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, CO, 2011.

    • Qi, G.-J.; Tian, Q.; Huang, T. S., Locality-Sensitive Support Vector Machine by Exploring Local Correlation and Global Regularization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, CO, 2011.

    • Dikmen, M.; Huang, T. S., Leveraging Social Network Information to Recognize People, Proceedings Workshop on Camera Networks and Wide Area Scene Analysis (WCNWASA), Colorado Springs, CO, 2011.

    • Tang, H.; Huang, T. S., Expression Recognition from 3D Dynamic Faces using Robust Spatio-temporal Shape Features, IEEE International Conference on Automatic Face and Gesture Recognition, Santa Barbara, CA, 2011.

    • Tariq, U.; Hu, Y.; Huang, T. S., Gender and Race Identification by Man and Machine. High Education Press (HEP) Springer: 2011.

    • Wang, Z. W.; Kuruoglu, E. E.; Yang, X. K.; Xu, Y.; Huang, T. S., Time Varying Dynamic Bayesian Network for Nonstationary Events Modeling and Online Inference. IEEE Transactions on Signal Processing 2011, 59, (4), 1553-1568.

  • 2010
    • Xu, M.; Zhou, X.; Li, Z.; Dai, B.; Huang, T. S., Extended Hierarchial Gaussianization for Scene Classification, IEEE International Conference on Image Processing, 2010.

    • Yang, J.; Huang, T. S., Image Super-resolution: Historical Overview and Future Challenges. In Super-Resolution Imaging, Milanfar, P., Ed. CRC Press: 2010; p Chapter 1.

    • Yang, J.; Yu, K.; Huang, T. S., Efficient Highly Over-complete Sparse Coding using Mixture Model, 11th European Conference on Computer Vision, Crete, Greece, 2010.

    • Yang, J. C.; Wright, J.; Huang, T. S.; Ma, Y., Image Super-Resolution Via Sparse Representation. IEEE Transactions on Image Processing 2010, 19, (11), 2861-2873.

    • Tsai, M.-H.; Tsai, S. F.; Huang, T. S., Heirarchical Image Feature Extraction and Classification, ACM Multimedia International Conference, Florence, Italy, 2010.

    • Fu, Y.; Guo, G. D.; Huang, T. S., Age Synthesis and Estimation via Faces: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 2010, 32, (11), 1955-1976.

    • Fu, Y.; Tu, J.; Tang, H.; Tao, H.; Huang, T. S., Human-Centered Face Computing in Multimedia Interaction and Communication. In Intelligent Multimedia Communication: Techniques and Applications, Chen, C. W.; Li, Z.; Liang, S., Eds. Springer-Verlag: 2010; Vol. 2010.

    • Rahurkar, M.; Tsai, S. F.; Dagli, C.; Huang, T. S., Image Interpretation Using Large Corpus: Wikipedia. Proceedings of the IEEE 2010, 98, (8), 1509-1525.

    • Sebe, N.; Aghajan, H.; Huang, T.; Magnenat-Thalmann, N.; Shan, C. F., Special Issue on Multimodal Affective Interaction. IEEE Transactions on Multimedia 2010, 12, (6), 477-480.

    • Tang, H.; Hasegawa-Johnson, M.; Huang, T., A Novel Vector Representation of Stochastic Signals Based on Adapted Ergodic HMMs. IEEE Signal Processing Letters 2010, 17, (8), 715-718.

    • Tang, H.; Hasegawa-Johnson, M.; Huang, T. S., Non-frontal View Facial Expression Recognition Based on Ergodic Hidden Markov Model Supervectors, IEEE International Conference on Multimedia & Expo, Singapore, 2010.

    • Le, V.; Tang, H.; Cao, C.; Huang, T. S., Accurate and Efficient Reconstruction of 3D Faces from Stereo Images, International Conference on Image Processing, Hong Kong, 2010.

    • Li, Z.; Zhou, X.; Huang, T. S., Hierarchial Density Estimation for Image Classification, IEEE International Conference on Image Processing, Hong Kong, 2010.

    • Lin, K. H.; Tang, H.; Huang, T. S., Robust License Plate Detection Using Image Saliency, IEEE International Conference on Imaging Processing, Hong Kong, 2010.

    • Cao, L.; Tian, Y.; Liu, Z.; Yao, B.; Zhang, Z.; Huang, T. S., Action Detection using Multiple Spatial-Temporal Interest Point Features, IEEE International Conference on Multimedia & Expo, Singapore, 2010.

    • Das Gupta, M.; Huang, T. S., Regularized Maximum Likelihood for Intrinsic Dimension Estimation, Uncertainty in Artificial Intelligence, Catalina Island, CA, 2010.

    • Dikmen, M.; Akbas, E.; Huang, T. S.; Ahuja, N., Pedestrian Recognition with a Learned Metric. Asian Conference on Computer Vision, Queenstown, New Zealand, November 2010.

    • Dikmen, M.; Huang, T. S., Improving Classification Accuracy by Comparing Local Features through Canonical Correlations, International Conference on Pattern Recognition, Istanbul, Turkey, 2010.

    • Ning, H. Z.; Xu, W.; Chi, Y.; Gong, Y. H.; Huang, T. S., Incremental spectral clustering by efficiently updating the eigen-system. Pattern Recognition 2010, 43, (1), 113-127.

    • Ning, H. Z.; Xu, W.; Zhou, Y.; Gong, Y. H.; Huang, T. S., A General Framework to Detect Unsafe System States From Multisensor Data Stream. IEEE Transactions on Intelligent Transportation Systems 2010, 11, (1), 4-15.

    • Zheng, W.; Tang, H.; Lin, Z.; Huang, T. S., Emotion Recognition from Arbitrary View Facial Images, European Conference on Computer Vision, Crete, Greece, 2010.

    • Zhou, X.; Yu, K.; Huang, T. S., Image Classification using Super-Vector Coding of Local Image Descriptors, European Conference on Computer Vision, Crete, Greece, 2010.

    • Zhang, H.; Yang, J.; Zhang, Y.; Huang, T. S., Non-Local Kernel Regression for Image and Video Restoration, 11th European Conference on Computer Vision, Crete, Greece, 2010.

    • Zhao, X.; Fu, Y.; Ning, H. Z.; Liu, Y. C.; Huang, T. S., Human Pose Regression Through Multiview Visual Fusion. IEEE Transactions on Circuits and Systems for Video Technology 2010, 20, (7), 957-966.

    • Yu, K.; Lu, F.; Lin, Y.; Zhu, S.; Yang, M.; Cao, L.; Huang, T. S., Large Scale Image Semantic Search, 11th European Conference Comptuer Vision, Crete, Greece, 2010.

  • 2009
    • Xu, D.; Yan, S. C.; Lin, S.; Huang, T. S.; Chang, S. F., Enhancing Bilinear Subspace Learning by Element Rearrangement. IEEE Transactions on Pattern Analysis and Machine Intelligence 2009, 31, (10), 1913-1920.

    • Ji, Q.; Luo, J. B.; Metaxas, D.; Torralba, A.; Huang, T. S.; Sudderth, E. B., Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence 2009,31, (10), 1729-1732.

    • Lin, D.; Huang, X. H.; Nguyen, Q.; Blackburn, J.; Rodrigues, C.; Huang, T.; Do, M. N.; Patel, S. J.; Hwu, W. M. W., The Parallelization of Video Processing From programming models to applications. IEEE Signal Processing Magazine 2009, 26, (6), 103-112.

    • Ning, H. Z.; Han, T. X.; Walther, D. B.; Liu, M.; Huang, T. S., Hierarchical Space-Time Model Enabling Efficient Search for Human Actions. IEEE Transactions on Circuits and Systems for Video Technology 2009, 19, (6), 808-820.

    • Yan, S. C.; Wang, H.; Tu, J. L.; Tang, X. O.; Huang, T. S., Mode-kn Factor Analysis for Image Ensembles. IEEE Transactions on Image Processing 2009, 18, (3), 670-676.

    • Yang, J. C.; Yan, S. C.; Huang, T. S., Ubiquitously Supervised Subspace Learning. IEEE Transactions on Image Processing 2009, 18, (2), 241-249.

    • Zeng, Z. H.; Pantic, M.; Roisman, G. I.; Huang, T. S., A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence 2009, 31, (1), 39-58.

    • Yan, S. C.; Wang, H.; Fu, Y.; Yan, J.; Tang, X. O.; Huang, T. S., Synchronized Submanifold Embedding for Person-Independent Pose Estimation and Beyond. IEEE Transactions on Image Processing 2009, 18, (1), 202-210.

    • Zhu, J.; Lyu, M. R.; Huang, T. S., A Fast 2D Shape Recovery Approach by Fusing Features and Appearance. IEEE Transactions on Pattern Analysis and Machine Intelligence 2009, 31, (7), 1210-1224.

    • Huang, T. S.; Hasegawa-Johnson, M. A.; Chu, S. M.; Zeng, Z.; Tang, H., Sensitive Talking Heads. IEEE Signal Processing Magazine 2009, 26, (4), 67-72.

    • Cao, L. L.; Luo, J. B.; Kautz, H.; Huang, T. S., Image Annotation Within the Context of Personal Photo Collections Using Hierarchical Event and Scene Models. IEEE Transactions on Multimedia 2009, 11, (2), 208-219.

    • Tu, J. L.; Fu, Y.; Huang, T. S., Locating Nose-Tips and Estimating Head Poses in Images by Tensorposes. IEEE Transactions on Circuits and Systems for Video Technology 2009, 19, (1), 90-102.

    • Tu, J. L.; Tao, H.; Huang, T., Online updating appearance generative mixture model for meanshift tracking. Machine Vision and Applications 2009, 20, (3), 163-173.

    • Wang, H.; Yan, S. C.; Liu, J. Z.; Tang, X. O.; Huang, T. S., Correspondence Propagation with Weak Priors. IEEE Transactions on Image Processing 2009, 18, (1), 140-150.

  • 2008
    • Xie, X. C.; Yan, S. C.; Kwok, J. T.; Huang, T. S., Matrix-Variate Factor Analysis and Its Applications. IEEE Transactions on Neural Networks 2008, 19, (10), 1821-1826.

    • Xu, D.; Yan, S. C.; Lin, S.; Huang, T. S., Convergent 2-D Subspace Learning With Null Space Analysis. IEEE Transactions on Circuits and Systems for Video Technology 2008, 18, (12), 1753-1759.

    • Fu, Y.; Huang, T. S., Human age estimation with regression on discriminative aging manifold. IEEE Transactions on Multimedia 2008, 10, (4), 578-584.

    • Fu, Y.; Li, Z.; Yuan, J. S.; Wu, Y.; Huang, T. S., Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing. IEEE Transactions on Circuits and Systems for Video Technology 2008, 18, (12), 1741-1752.

    • Fu, Y.; Yan, S. C.; Huang, T. S., Correlation Metric for Generalized Feature Extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence 2008, 30, (12), 2229-2235.

    • Guo, G. D.; Fu, Y.; Dyer, C. R.; Huang, T. S., Image-based human age estimation by manifold learning and locally adjusted robust regression. IEEE Transactions on Image Processing 2008, 17, (7), 1178-1188.

    • Mu, Y. D.; Yan, S. C.; Huang, T.; Zhou, B. F., Contextual motion field-based distance for video analysis. Visual Computer 2008, 24, (7-9), 595-603.

    • Huang, T. S.; Dagli, C. K.; Rajaram, S.; Chang, E. Y.; Mandel, M. I.; Poliner, G. E.; Ellis, D. P. W., Active learning for interactive multimedia retrieval. Proceedings of the IEEE 2008, 96, (4), 648-667.

    • Sebe, N.; Tian, Q.; Lew, M. S.; Huang, T. S., Similarity matching in computer vision and multimedia. Computer Vision and Image Understanding 2008, 110, (3), 309-311.

    • Xu, D.; Yan, S. C.; Zhang, L.; Lin, S.; Zhang, H. J.; Huang, T. S., Reconstruction and recognition of tensor-based objects with concurrent subspaces analysis. IEEE Transactions on Circuits and Systems for Video Technology 2008, 18, (1), 36-47.

    • Fu, Y.; Huang, T. S., Image classification using correlation tensor analysis. IEEE Transactions on Image Processing 2008, 17, (2), 226-234.

    • Fu, Y.; Li, Z.; Huang, T. S.; Katsaggelos, A. K., Locally adaptive subspace and similarity metric learning for visual data clustering and retrieval. Computer Vision and Image Understanding 2008, 110, (3), 390-402.

    • Fu, Y.; Yan, S. C.; Huang, T. S., Classification and feature extraction by simplexization. IEEE Transactions on Information Forensics and Security 2008, 3, (1), 91-100.

    • Tang, H.; Fu, Y.; Tu, J. L.; Hasegawa-Johnson, M.; Huang, T. S., Humanoid Audio-Visual Avatar With Emotive Text-to-Speech Synthesis. IEEE Transactions on Multimedia 2008, 10, (6), 969-981.

    • Yan, S. C.; Wang, H.; Tang, X. O.; Liu, J. Z.; Huang, T. S., Regression From Uncertain Labels and Its Applications to Soft Biometrics. IEEE Transactions on Information Forensics and Security 2008, 3, (4), 698-708.

    • Zeng, Z. H.; Tu, J. L.; Pianfetti, B. M.; Huang, T. S., Audio-visual affective expression recognition through multistream fused HMM. IEEE Transactions on Multimedia 2008, 10, (4), 570-577.

  • 2007
    • Grigorova, A.; De Natale, F. G. B.; Dagli, C.; Huang, T. S., Content-based image retrieval by feature adaptation and relevance feedback. IEEE Transactions on Multimedia 2007, 9, (6), 1183-1192.

    • Zeng, Z. H.; Tu, J. L.; Liu, M.; Huang, T. S.; Pianfetti, B.; Roth, D.; Levinson, S., Audio-visual affect recognition. IEEE Transactions on Multimedia 2007, 9, (2), 424-428.

    • Jaimes, A.; Gatica-Perez, D.; Sebe, N.; Huang, T. S., Human-centered computing: Toward a human revolution. Computer 2007, 40, (5), 30-34.

    • Tong, M. L.; Liu, Y. C.; Huang, T. S., 3D human model and joint parameter estimation from monocular image. Pattern Recognition Letters 2007, 28, (7), 797-805.

    • Yu, J.; Tian, Q.; Rui, T.; Huang, T. S., Integrating discriminant and descriptive information for dimension reduction and classification. IEEE Transactions on Circuits and Systems for Video Technology 2007, 17, (3), 372-377.

    • Yan, S. C.; Liu, J. Z.; Tang, X. O.; Huang, T. S., Formulating face verification with semidefinite programming. IEEE Transactions on Image Processing 2007, 16, (11), 2802-2810.

    • Sethi, A.; Rahurkar, M.; Huang, T. S., Event detection using "variable module graphs" for home care applications. Eurasip Journal on Advances in Signal Processing 2007.

    • Tu, J. L.; Tao, H.; Huang, T., Face as mouse through visual face tracking. Computer Vision and Image Understanding 2007, 108, (1-2), 35-40.

    • Lew, M.; Sebe, N.; Huang, T. S., The age of human computer interaction. Image and Vision Computing 2007, 25, (12), 1833-1835.

    • Sebe, N.; Lew, M. S.; Sun, Y.; Cohen, I.; Gevers, T.; Huang, T. S., Authentic facial expression analysis. Image and Vision Computing 2007, 25, (12), 1856-1863.

    • Yan, S. C.; Liu, J. Z.; Tang, X.; Huang, T. S., A parameter-free framework for general supervised subspace learning. IEEE Transactions on Information Forensics and Security 2007, 2, (1), 69-76.

    • Das Gupta, M.; Rajaram, S.; Huang, T. S.; Petrovic, N., Ordinal regression based subpixel shift estimation for video super-resolution. Eurasip Journal on Advances in Signal Processing 2007.

  • 2006
    • Rajaram, S.; Das Gupta, M.; Petrovic, N.; Huang, T. S., Learning-based nonparametric image super-resolution. Eurasip Journal on Applied Signal Processing 2006.

    • Zeng, Z.; Fu, Y.; Roisman, G. I.; Wen, Z.; Hu, Y.; Huang, T. S., Spontaneous emotional facial expression detection, Journal of Multimedia 2006, 1, (5), 1-8.

    • Chen, T.; Yin, W. T.; Zhou, X. S.; Comaniciu, D.; Huang, T. S., Total variation models for variable lighting face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 2006, 28, (9), 1519-1524.

    • Chen, Y. Q.; Rui, Y.; Huang, T. S., Multicue HMM-UKF for real-time contour tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 2006, 28, (9), 1525-1529.

    • Dagli, C. K.; Rajaram, S.; Huang, T. S., Leveraging active learning for relevance feedback using an information theoretic diversity measure. In Image and Video Retrieval, Proceedings 2006; Vol. 4071, 123-132.

    • Tu, J. L.; Tao, H.; Huang, T., Online updating appearance generative mixture model for meanshift tracking. In Computer Vision - Accv 2006, Pt I, 2006; Vol. 3851, pp 694-703.

  • 2004
    • Pan, H., Levinson, S.E., Huang, T.S., and Liang, Z.P. (2004), "A Fused HMM Model with Application to Bimodal Speech Processing," IEEE Transactions On Signal Processing, 52/3, pp. 573- 581.

  • 2003
    • Zhou, X.S., Rui, Y., and Huang, T.S. (2003), "Exploration of Visual Data", Kluwer Academic Publishers.

    • Nakazato, M., Manola, L., and Huang, T. S. (2003), "ImageGrouper: A Group-oriented User Interface for Content-based Image Retrieval and Digital Image Arrangement," Journal of Visual Languages and Computing, 4, pp. 363-386.

    • Cohen, I., Sebe, N., Garg, A., Chen, L.S., and Huang, T.S. (2003), "Facial Expression Recognition from Video Sequences: Temporal and Static Modeling,” Computer Vision and Image Understanding, 91, pp. 160-187.

Press

The Communications Office maintains the information included in Beckman Institute's online directory listings. In order to update your directory listing, please submit the following information to directoryupdates@beckman.illinois.edu:

  • a short bio including information on your educational background and your field
  • any honors and awards you may have received
  • a description of your research (approximately 200-400 words)
  • a list of recent representative publications
  • a photo of yourself (you can submit one or we can take one for you)