Portrait of Gang Hua

Gang Hua

Principal Researcher/Research Manager

About

Gang Hua is a Principal Researcher/Research Manager of the Machine Perception and Cognition Group in the Core Computer Vision Technology Center in Microsoft AI and Research Group in Redmond. Before that, he was a Principal Researcher/Research Manager in the Visual Computing Group at Microsoft Research Asia. He also holds a Visiting Professor position at Stevens Institute of Technology. His research focuses on artificial intelligence, computer vision, pattern recognition, machine learning, and robotics, with primary applications in the cloud and mobile intelligence domain. For more info, please access my new personal website at http://www.ganghua.org/ .

Before he came back to Microsoft Research, he was an Associate Professor of Computer Science at Stevens Institute of Technology between 2011 and 2015. During the academic year 2014-2015, he took an on leave from Stevens and worked on a confidential corporate project at Amazon. He was an academic visiting researcher with IBM Research T. J. Watson Center between 2011 and 2014, a Research Staff Member with IBM Research T. J. Watson Center from 2010 to 2011, a Senior Researcher with Nokia Research Center Hollywood from 2009 to 2010, and a Scientist with Microsoft Live labs Research from 2006 to 2009.

He received his Ph.D. degree in ECE from Northwestern University in 2006. In summer 2005 and 2004, he was a research intern with Microsoft Research, Redmond, WA, and a research intern with Honda Research Institute, Mountain View, CA, respectively.

He is the recipient of the 2015 IAPR Young Biometrics Investigator Award for his contributions to Unconstrained Face Recognition in Images and Videos, and a recipient of the 2013 Google Research Faculty Award. His research at Stevens was funded by NIH (the Sole PI of a R01 grant from the National Robotics Initiative Program), NSF, ARO, ONR, Adobe, Microsoft, Google, and NEC.

He has been awarded Best Reviewers Award from CVPR/ICCV/ACCV/BTAS, etc. He will serve as a Program Chair for CVPR'2019, and an Area Chair for CVPR'2017, ACM MM'2017, and ICCV'2017. He has also served as Area Chairs for CVPR'2014, ICCV'2011, ACM MM’2011&2012&2015, ICIP2012&2013&2015, ICASSP2012&2013. He served as an Associate Editor for IEEE T-IP (2010-2014), and is currently serving as Associate Editors for IEEE Trans. on Image Processing, IEEE Trans. on Circuits Systems and Video Technologies, IEEE Multimedia, CVIU, MVA, and VCJ.

He has published more than 130 peer reviewed papers in top conferences such as CVPR/ICCV/ECCV, and top journals such as T-PAMI and IJCV. To date He holds 18 issued U.S Patents and also has 14 more U.S. Patents Pending. He is an IAPR Fellow, an ACM Distinguished Scientist, and a Senior Member of IEEE.

Publications:

  • Notes 1: Electronic papers shared on this website are for fast dissemination of research work. The copyrights of the papers belong to the corresponding publishers. Also the technologies presented in some of the published papers are protected by US Patents or pending Patents
  • Notes 2: “^” indicates my current Ph.D. or M.S. students at Stevens
  • Notes 3: “*” indicates the co-author is the student I supervised/co-supervised during his summer internship or during a collaboration with his advisor
  • Notes 4: ICCV, CVPR, and ECCV are considered to be the top three major computer vision conferences with highly competitive overall acceptance rate ~25% and <5% acceptance for oral presentation
  • Notes 5: IEEE T-PAMI and IJCV are considerred to be the top two computer vision journals and both have very high journal impact factors that a ranked among Top 3 in all Computer Science Journals (nearly 100).

Book, Book Chapter, Thesis, Dissertation:

  1. Gang Hua and Xian-Sheng Hua, (Editors) “Mobile Cloud Visual Media Computing: From Interaction to Service,” Springer, 2015. (ISBN: 978-3-319-24700-7)
  2. Erik Learned-Miller, Gary Huang, Aruni RoyChowdhury, Haoxiang Li, and Gang Hua, “Labeled Faces in the Wild: A Survey,” in Advances in Face Detection and Facial Image Analysis, Editted by Michal Kawulok, M. Emre Celebi, Bogdan Smolka, Springer, 2015. (ISBN: 978-3-319-25956-7)
  3. Qiang Ji, Thomas B. Moeslund, Gang Hua and Kamal Nasrollahi, “Face and Facial Expression Recognition from Real World Videos,” International Workshop, FFER@ICPR 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8912, Springer 2015. (ISBN: 978-3-319-13736-0)
  4. Matthew Turk and Gang Hua, “Vision based Interaction,” Sythesis Lectures on Computer Vision, Morgan and Claypool, 2013. (ISBN: 978-1-60845-241-5)
  5. Xiao Zhang*, Gang Hua, and Lei Zhang, “An Efficient Visual Representation and Indexing Scheme for Large Scale Video Retrieval,” invited Book Chapter, in Internet Multimedia Search and Mining, e-Book, Edited by Xian-Sheng Hua, Marcel Worring, and Tat-Seng Chua, Bentham Science Publishers, 2013. (ISBN: 978-1-60805-766-5; eISBN: 978-1-60805-215-8)
  6. Xiaoyu Wang*, Gang Hua, and Tony X. Han, “Discriminative Multiple Target Tracking”, invited Book Chapter, in Machine Learning for Vision based Motion Analysis, Edited by Liang Wang, Guoying Zhao, Li Cheng, and Matti Pietiksine, Springer, 2010. (ISBN: 978-0-85729-056-4)
  7. Gang Hua, “Complex Visual Motion Analysis via Probabilistic Variational Methods: A Distributed and Collaborative Approach“, VDM Verlag Dr. Muller AG & Co. KG, 2009. (ISBN: 978-3-639-11710-3)
  8. Gang Hua, “Face Recognition by Discriminative Orthogonal Rank-one Tensor Decomposition“, invited Book Chapter, in Recent Advances in Face Recognition, Edited by Marian Stewart Bartlett, Kresimir Delac and and Mislav Grgic, 2008. (ISBN: 978-953-7619-34-3)
  9. Gang Hua, “Probabilistic Variational Methods for Vision based Complex Motion Analysis“, Ph.D. Dissertation , Northwestern University, May, 2006.
  10. Gang Hua, “Software&Hardware Co-design of Reconfigureable Real-time Signal Compression System and Research on the Algorithms”, Master’s thesis, Xi’an Jiaotong University, Press 2002. (in Chinese)
  11. Gang Hua, “Research of the digital processing algorithms in DPTV and its FPGA realization”, Bachelor’s thesis, Xi’an Jiaotong University., Press 1999. (in Chinese)

Journal Articles:

  1. Gang Hua, Chengjiang Long, Ming Yang, and Yan Gao, “Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 2016. (Accepted with minor revision)
  2. Dapeng Chen, Zejian Yuan, Gang Hua, Jingdong Wang, and Nanning Zheng, “Multi-timescale Collaborative Tracking,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 2016. (To Appear)
  3. Fu Li, Huchuan Lu, and Gang Hua, “Visual Tracking via Joint Discriminative Appearance Learning,” IEEE Trans. on Circuits Systems and Video Technology, 2016. (To Appear)
  4. Yaochen Li, Yuehu Liu, Yuanqi Su, Gang Hua, and Nanning Zheng, “Three-Dimensional Traffic Scenes Simulation From Road Image Sequences,” IEEE Trans. on Intelligent Transportation Systems, Vol.17, No.4, April, 2016.
  5. Chengjiang Long, Gang Hua, and Ashish Kapoor, “A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing,” International Journal on Computer Vision, Vol.116, Issue.2, pp.136-160, January, 2016.
  6. Qilin Zhang, Gang Hua, Wei Liu, Zicheng Liu, and Zhengyou Zhang, “Auxiliary Training Information Assisted Visual Recognition,” IPSJ Journal of Computer Vision and Application, Special Issue on Best of ACCV’2014, Vol. 7, pp.138-150, 2015.
  7. Gangqiang Zhao*, Junsqong Yuan, and Gang Hua, “Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior,” IEEE Trans. on Image Processing, 2015 (Accepted)
  8. Meng Wang, Ke Lu, Gang Hua, and Cees Snoek, “Guest editorial: selected papers from ICIMCS 2013,” Multimedia Systems, Vol.21, Issue 2, pp.131-132, 2015
  9. Wenwu Zhu, Peng Cui, Zhi Wang, and Gang Hua, “Multimedia Big Data Computing,” IEEE Multimedia, Vol.22, No.3, pp.96-103, July 2015.
  10. Huimin Yao, Chenyang Ge*, Gang Hua, and Nanning Zheng, “The VLSI Implementation of a High-resolution Depth-sensing SoC based on Active Structured light“, Machine Vision and Applications, Vol. 26, Issue 4, pp. 533-548, May 2015
  11. Zhenxing Niu*, Gang Hua, Qi Tian, and Xinbo Gao, “Visual Topic Network: Building an Image Representation for Image Recognition in Social Media,” Computer Vision and Image Understanding, Vol. 136, pp. 3-13, July 2015
  12. Yue Gao, Rongrong Ji, Wei Liu, and Gang Hua, “Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes,” IEEE Trans. on Image Processing, Vol.23, No.12, pp.5400-5411, December 2014.
  13. Le Wang*, Gang Hua, Jianru Xue, Zhanning Gao, and Nanning Zheng, “Joint Segmentation and Recognition of Categorized Objects from Noisy Web Image Collection”, IEEE Trans. on Image Processing, Vol.23, No.9, pp.4070-4086, September, 2014.
  14. Yue Gao, Rongrong Ji, Peng Cui, Qionghai Dai, and Gang Hua, “Hyperspectral Image Classification Through Bilayer Graph Based Learning”, IEEE Trans. on Image Processing, Vol.23, NO.7, pp.2769-2778, July 2014.
  15. Shiliang Zhang*, Qi Tian, Gang Hua, Qingming Huang, and Wen Gao, “ObjectPatchNet: Towards Scalable and Semantic Image Annotation and Retrieval,” Computer Vision and Image Understanding, special issue on Learning from Multiple Evidences for Large Scale Multimedia Analysis, Vol. 118, pp.16-29, January 2014.
  16. Jianru Xue, Le Wang*, Nanning Zheng, and Gang Hua, “Automatic salient object extraction with contextual cue and its applications to recognition and alpha matting,”, Pattern Recognition, Vol. 46, Issue 11, pp.2874-2889, November, 2013. (Long version of the ICCV’2011 segmentation paper)
  17. Ioannis Kompatsiaris, Wenjun Zeng, Gang Hua, and Liangliang Cao, “Introduction to the Special Section of Best Papers of ACM Multimedia 2012,” ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 9 Issue 1s, Article No. 50, October, 2013.
  18. Daniel Gatica-Perez, Gang Hua, Wei Tsang Ooi, and Pal Halvorsen, “Introduction to the Special Section of Best Papers of ACM Multimedia 2011,” ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 8, No. 3s, Article 38, September, 2012.
  19. Xiaohui Shen*, Gang Hua, Lance Williams, and Ying Wu, “Dynamic Hand Gesture Recognition: An Exemplar based Approach from Motion Divergence Fields“, Image and Vision Computing, Special issue on Best of FG’2011, Volume 30, Issue 3, pp.227-235, March 2012.
  20. Michele Merler*, Bert Huang, Lexing Xie, Gang Hua, and Apostol Natsev, “Semantic Model Vectors for Complex Video Event Recognition“, IEEE Trans. on Multimedia, Vol. 14, Issue 1, pp.88-101, February, 2012 .
  21. Gang Hua, Yun Fu, Matthew Turk, Marc Pollefeys, and Zhengyou Zhang, “Introduction to the Special Issue on Mobile Vision“, International Journal on Computer Vision, Vol. 96, No. 3, pp.277-279, February, 2012.
  22. Gang Hua, Ming-Hsuan Yang, Erik Learned-Miller, Yi Ma, Matthew Turk, David J. Kriegman, and Thomas S. Huang, “Introduction to the Special Section on Real-World Face Recognition“, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 33, Issue 10, pp.1921-1924, October, 2011.
  23. Shiliang Zhang*, Qi Tian, Gang Hua, Qingming Huang, and Wen Gao, “Generating Descriptive Visual Words and Visual Phrases for Large-Scale Image Applications“, IEEE Trans. on Image Processing, Vol. 20, No.9, pp.2664-2677, September, 2011.
  24. Shiliang Zhang*, Qi Tian, Gang Hua, Wengang Zhou, Qingming Huang, Houqiang Li, and Wen Gao, “Modeling Spatial and Semantic Cues for Large-Scale Near-Duplicated Image Retrieval“, Computer Vision and Image Understanding special issue on Featureoriented Image and Video Computing for Extracting Contexts and Semantics, Vol. 115, Issue 3, pp.403-414, March, 2011.
  25. Matthew Brown, Gang Hua, and Simon Winder, “Discriminative Learning of Local Image Descriptors“, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.33, No.1, pp.43-57, January, 2011
  26. Yan Gao, Alok Choudhary, and Gang Hua, “A Comprehensive Approach to Image Spam Detection: From Server to Client Solution“, IEEE Trans. on Information Forensics and Security, Vol.5, Issue.4, December, 2010.
  27. Tian Xia*, Tao Mei, Gang Hua, Yong-Dong Zhang, and Xian-Sheng Hua, “Visual Quality Assessment for Web Videos“, Journal of Visual Communication and Image Representation, Vol.21, Issue.8, pp.826-837, November, 2010
  28. David Liu*, Gang Hua, and Tsuhan Chen, “A Hierarchical Visual Model for Video Object Summarization“, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.32, No.12, pp.2178-2190, December, 2010.
  29. Yang Wang, Lei Zhang, Zicheng Liu, Gang Hua, Zhen Wen, Zhengyou Zhang, and Dimitris Samaras, “Face Re-Lighting from a Single Image under Arbitrary Unknown Lighting Conditions“, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), Vol.31, No.11, pp.1968-1984, November, 2009.
  30. Ming Yang, Ying Wu, and Gang Hua, “Context-aware Visual Tracking“, IEEE Trans. on Pattern Recognition and Machine Intelligence (PAMI), Vol.31, No.7, pp.1195-1209, July, 2009.
  31. Gang Hua and Ying Wu, “A Decentralized Probabilistic Approach to Articulated Body Tracking“, Computer Vision and Image Understanding (CVIU), Special issue on spatial coherence for visual motion analysis, Vol. 108, Issue 3, pp.272-283, December, 2007.
  32. Gang Hua, Zicheng Liu, Zhengyou Zhang and Ying Wu, “Iterative local-global energy mini-mization for automatic extraction of object of interest“, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), Vol.28, No.10, pp.1701-1706, October, 2006.
  33. Gang Hua and Ying Wu, “Sequential Mean Field Variational Analysis of Structured Deformable Shapes“, Computer Vision and Image Understanding (CVIU), Vol.101, Issue 2, pp. 87-99, February, 2006.
  34. Gang Hua and Ying Wu, “Variational Maximum a Posteriori by Annealed Mean Field Analysis“, IEEE Trans. on Pattern Recognition and Machine Intelligence (PAMI), Vol.27, No.11, pp.1747-1781, November, 2005.
  35. Yan Gao, Gang Hua and Guoji Sun, “A New Hybrid Method for Fast Vector Quantization “, Microelectronics & Computer, Vol.20, No.2, pp.56-59, February, 2003 (in Chinese)
  36. Gang Hua, Nanning Zheng and Jianru Xue, “An approach based on improved Genetic Algorithm to selecting the threshold automatically in edge detection and its application in computer vision system”, Mini-micro Systems, Vol.23, No.3, pp.318-321, March, 2002 . (in Chinese)

Conference Papers:

2016

  1. Dong Chen, Gang Hua, Fang Wen, and Jian Sun, “Supervised Transformer Network for Efficient Face Detection”, in Proc. European Conf. on Computer Vision (ECCV’2016), Amsterdam, Netherland, October 2016.
  2. Haoxiang Li, Jonathan Brandt, Zhe Lin, Xiaohui Shen, and Gang Hua, “A Multi-level Contextual Model for Person Recognition in Photo Albums,” in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2016), Las Vegas, NV, June 2016.
  3. Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, and Gang Hua, “Ordinal Regression with Multiple Output CNN for Age Estimation,” in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2016), Las Vegas, NV, June 2016.
  4. Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu, and Gang Hua, “Supervised Matrix Factorization for Cross-Modality Hashing,” in Proc. International Joint Conf. on Artificial Intelligence, New York City, NY, July 2016.

2015

  1. Chengjiang Long^ and Gang Hua, “Multi-class Multi-annotator Active Learning with Robust Gaussian Process for Visual Recognition,” in Proc. IEEE International Conf. on Computer Vision (ICCV’2015), Santiago, Chile, December 2015.
  2. Yan Xia*, Xudong Cao, Fang Wen, Gang Hua, and Jian Sun, “Learning Discriminative Reconstructions for Unsupervised Outlier Removal,” in Proc. IEEE International Conf. on Computer Vision (ICCV’2015), Santiago, Chile, December 2015. (Oral Presentation)
  3. Qilin Zhang^ and Gang Hua, “Multi-View Visual Recognition of Imperfect Testing Data,” in Proc ACM International Conf. on Multimedia (MM’2015), Brisban, Australia, October 2015.
  4. Haoxiang Li^ and Gang Hua, “Hierarchical-PEP Model for Real-world Face Recognition,” in Proc IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2015), Boston, MA, June 2015.
  5. Haoxiang Li^, Zhe Lin, Jonathan Brandt, Xiaohui Shen, and Gang Hua, “A Convolutional Neural Network Cascade for Face Detection,” in Proc IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2015), Boston, MA, June, 2015.
  6. Dapeng Chen*, Zejian Yuan, Gang Hua, Nanning Zheng, and Jingdong Wang, “Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification,” in Proc IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2015), Boston, MA, June, 2015.
  7. Ling Cai, Rongrong Ji, Wei Liu, and Gang Hua, “Modeling Inter- and Intra-Part Deformations for Object Structure Parsing,”, in Proc. International Joint Conf. on Artificial Intelligence, Buenos Aires, Argentina, July 2015.
  8. Ross Beveridge, Hao Zhang, Bruce Draper, Patrick Flynn, Zhenhua Feng, Patrik Huber, Josef Kittler, Zhiwu Huang, Shaoxin Li, Yan Li, Meina Kan, Ruiping Wang, Shiguang Shan, Xilin Chen, Haoxiang Li, Gang Hua, Vitomir Struc, Janez Krizaj, Changxing Ding, Dacheng Tao, and Jonathon Phillips, “Report on the FG 2015 Video Person Recognition Evaluation,” in Proc. The Eleventh IEEE International Conf. on Face and Gesture Recognition(FG’2015), Ljubljana, Slovenia, May 2015.
  9. Lingyan Ran^, Yanning Zhang, and Gang Hua, “CanNet: Convext Aware nonlocal Convolutional Networks for Semantic Image Segmentation,” in Proc. of IEEE International Conf. on Image Processing, Quebec City, Canada, September, 2015.
  10. Hedenir Monteiro Pinheiro, Ronaldo Martins da Costa, Eduardo Nery Rossi Camilo, Anderson da Silva Soares, Rogério Lopes Salvini, Gustavo Teodoro Laureano, Fabrízzio Alphonsus A. M. N. Soares, and Gang Hua, “A New Approach to Detect Use of Alcohol Through Iris Videos Using Computer Vision,” in Proc. the 18th International Conf. on Image Analysis and Processing (ICIAP’2015), Vol.2, pp.598-608, Genova, Italy, September 2015
  11. Hedenir Machado Pinheiro, Ronaldo Martins da Costa, Leandro Luis Galdino de Oliveira, Eduardo N. R. Camilo, and Gang Hua, “Development of an Effective Method and a Portable Device to Evaluate the Pupillary Reflex,” in Proc. The 28th IEEE International Symposium on Computer-Based Medical Systems, pp.187-190, Sao Carlos, SP, Brazil, June 2015

2014

  1. Le Wang*, Gang Hua, Rahul Sukthankar, Jianru Xue, and Nanning Zheng, “Video Object Discovery and Co-segmentation with Extremely Weak Supervision“, in Proc. European Conf. on Computer Vision (ECCV’2014), Zurich, Switzerland, September, 2014.
  2. Dapeng Chen*, Zejian Yuan, Gang Hua, Yang Wu, and Nanning Zheng, “Description-Discriminative Collaborative Tracking“, in Proc. European Conf. on Computer Vision (ECCV’2014), Zurich, Switzerland, September, 2014.
  3. Wei Liu, Gang Hua, and John R. Smith, “Unsupervised One-Class Learning for Automatic Outlier Removal,”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2014), Columbus, OH, June, 2014. (Oral Presentation)
  4. Yadong Mu, Gang Hua, Wei Fan, and Shih-Fu Chang, “Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification,” in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2014), Columbus, OH, June, 2014.[Long Version]
  5. Zhenxing Niu*, Gang Hua, Xinbo Gao, and Qi Tian, “Semi-supervised Relational Topic Model for Weakly Annotated Image Recognition in Social Media,” in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2014), Columbus, OH, June, 2014.
  6. Haoxiang Li^, Zhe Lin, Jonathan Brandt, Xiaohui Shen, and Gang Hua, “Efficient Boosted Exemplar-based Face Detection,” in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2014), Columbus, OH, June, 2014.
  7. Ross Beveridge, Hao Zhang, Patrick Flynn, Jonathon Philips, Venice Erin Liong, Jiwen Lu, Marcus de Assis Ageloni, Tiago de Freitas Pereira, Haoxiang Li, Gang Hua, Vitomir Struc, and Janez Krizaj, “The IJCB 2014 PaSC Video Face and Person Recognition Competition“, in Proc. International Joint Conf. on Biometrics,” Clearwater, FL, September, 2014.
  8. Qilin Zhang^, Gang Hua, Wei Liu, Zicheng Liu, and Zhenyoug Zhang, “Can Visual Recognition Benefi from Auxiliary Information in Training?” in Proc. The Twelves Asian Conference on Computer Vision (ACCV’2014), Singapore, November 2014. (Oral Presentation)
  9. Haoxiang Li^, Gang Hua, Xiaohui Shen, Zhe Lin, and Jonathan Brandt, “Eigen-PEP for Video Face Recognition,” in Proc. The Twelves Asian Conference on Computer Vision (ACCV’2014), Singapore, November 2014.
  10. Chengjiang Long, Xiaoyu Wang, Gang Hua, Ming Yang and Yuanqing Lin, “Accurate Object Detection with Location Relaxation and Regionlets Relocalization,” in Proc. The Twelves Asian Conference on Computer Vision (ACCV’2014), Singapore, November 2014.
  11. Yizhou Lin^, Gang Hua, and Philippos Mordohai, “Egocentric Object Recognition leveraging the 3D Shape of the Grasping Hand,” in Proc. ECCV Workshop on Assistive Computer Vision and Robotics 2014, Zurich, 12th September 2014.

2013

  1. Gang Hua, Chengjiang Long^, Ming Yang, and Yan Gao, “Collaborative Active Learning of a Kernel Machine Ensemble for Recognition“, in Proc. IEEE International Conf. on Computer Vision (ICCV’2013), Sydney, Australia, December, 2013.
  2. Chengjiang Long^, Gang Hua, and Ashish Kapoor, “Active Visual Recognition with Expertise Estimation in Crowdsourcing“, in Proc. IEEE International Conf. on Computer Vision (ICCV’2013), Sydney, Australia, December, 2013.
  3. Haoxiang Li^, Gang Hua, Zhe Lin, Jonathan Brandt, and Jianchao Yang, “Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation“, in Proc. IEEE International Conf. on Computer Vision (ICCV’2013), Sydney, Australia, December, 2013.
  4. Tongtao Zhang^, Rongrong Ji, Wei Liu, Dacheng Tao, and Gang Hua, “Semi-Supervised Learning with Manifold Fitted Graphs“, in Proc. the 23rd International Joint Conf. on Artificial Intelligence (IJCAI’2013), Beijing, China, August 2013.
  5. Haoxiang Li^, Gang Hua, Zhe Lin, Jonathan Brandt, and Jianchao Yang, “Probabilistic Elastic Matching for Pose Variant Face Verification“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2013), Portland, OR, June 2013.
  6. Gangqiang Zhao*, Junsong Yuan, and Gang Hua, “Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2013), Portland, OR, June 2013.
  7. Jingzhe Zhang^, Lishuo Zhuang^, Yang Wang^, Yameng Zhou^, Yan Meng, and Gang Hua, “An Egocentric Vision based Assistive Co-robot“, in Proc. International Conf. on Rehabilitation Robotics (ICORR’2013), Seattle, WA, June 2013.
  8. Jin Li*, Gang Hua, Xuguang Lan, and Nanning Zheng, “A Integrated Model for Bayesian Learning of Sparse Representation and Classifier Training,”, in Proc. The 2013 Pacific-Rim Conf. on Multimedia (PCM’2013), Nanjing, China, December, 2013.
  9. Noel C. F. Codella, Gang Hua, Liangliang Cao, Michele Merler, Leiguang Gong, Matthew Hill, and John R. Smith, “Large-Scale Video Event Classification using Dynamic Pyramid Matching of Visual Semantics,” in Proc. IEEE International Conf. on Image Processing (ICIP’2013) , Melbourne, Australia, September, 2013.
  10. Jingzhe Zhang^, Lishuo Zhuang^, Yang Wang^, Yameng Zhou^, Yan Meng^, and Gang Hua, “Video Demo: An Egocentric Vision based Assistive Co-robot,”, in Proc. The 3rd IEEE International Workshop on Mobile Vision in conjunction with CVPR’2013, Portland, OR, June, 2013.

2012

  1. Liangliang Cao, Yadong Mu, Apostol Natsev, Shih-Fu Chang, Gang Hua, and John R. Smith, “Scene Aligned Pooling for Complex Video Recognition“, in Proc. European Conf. on Computer Vision (ECCV’2012), Firenze, Italy, October, 2012.
  2. Xiaoyu Wang*, Gang Hua, and Tony X. Han, “Detection by Detections: Non-parametric Detector Adaptation for a Video“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2012), Providence, Rhode Island, June, 2012.
  3. Zhenxing Niu*, Gang Hua, Xinbo Gao, and Qi Tian, “Context Aware Topic Model for Scene Recognition“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2012), Providence, Rhode Island, June, 2012.
  4. Zhe Lin, Gang Hua, and Larry S. Davis, “Multi-scale Shared Features for Casacade Object Detection“, in Proc. IEEE International Conf. on Image Processing (ICIP’2012), Orlando, September, 2012.
  5. Le Wang, Jianru Xue, Nanning Zheng, and Gang Hua, “Concurrent Segmentation of Categorized Objects from an Image Collection“, in Proc. IAPR International Conf. on Pattern Recognition (ICPR’2012),
    Tsukuba, Japan, November, 2012.
  6. Ashish Kapoor, Dahua Lin, Simon Baker, Gang Hua, and Amir Akabarzadeh, “How to make Face Recognition Work: The Power of Modeling Context“, in Proc. AAAI Workshop on Activity Context Representation, July, 2012. (Keynote Paper)
  7. Noel C. F. Codella, Apostol Natsev, Gang Hua, Matthew Hill, Liangliang Cao, Leiguang Gong, and John R. Smith, “Video Event Detection using Temporal Pyramids of Visual Semantics with Kernel Optimization and Model Subspace Boosting”, in Proc. IEEE International Conference on Multimedia and Expo (ICME’2012) , Melbourne, Australia, July, 2012. (Oral Presentation)

2011

  1. Xiang Huang*, Gang Hua, Lance Williams, and Jack Tumblin, “What Characterizes a Shadow Boundary under the Sun and Sky?“, in Proc. IEEE International Conf. on Computer Vision (ICCV’2011), Barcelona, Spain, November, 2011.
  2. Le Wang*, Jianru Xue, Nanning Zheng, Gang Hua, “Automatic Salient Object Extraction with Contextual Cue“, in Proc. IEEE International Conf. on Computer Vision (ICCV’2011), Barcelona, Spain, November, 2011.
  3. Zhenxing Niu*, Gang Hua, Xinbo Gao, and Qi Tian, “Spatial-DiscLDA for Visual Recognition“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2011), Colorado Springs, Colorado, June, 2011.
  4. Xiaohui Shen*, Gang Hua, Lance Williams, and Ying Wu, “Motion Divergence Fields for Dynamic Hand Gesture Recognition“, in Proc. The 9th IEEE Conf. on Automatic Face and Gesture Recognition (FG’2011), Santa Barbara, CA, March, 2011.
  5. Noel C. F. Codella, Gang Hua, Apostol Natsev, and John R. Smith, “Towards Large Scale Land-cover Recognition of Satellite Images“, Invited, in Proc. The 8th International Conference on Information, Communications and Signal Processing (ICICS’2011), Singapore, December, 2011.
  6. Chaoqun Weng, Gang Hua, and Junsong Yuan, ”Multiple Instance Boosting with Global Smoothness Regularization,” invited, in Proc. The 8th International Conference on Information, Communications and Signal Processing (ICICS’2011), Singapore, December, 2011.
  7. Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay Cotton, Dan Ellis, Leiguang Gong, Matthew Hill, Gang Hua, John Kender, Michele Merler, Yadong Mu, Apostol Natseve, John R. Smith, “IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System,” NIST TRECVID Workshop, 2011.

2010

  1. Xiao Zhang*, Gang Hua, Lei Zhang, and Heung-Yeung Shum, “Interest Seam Image“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2010), San Francisco, CA, June, 2010. (Oral presentation).
  2. Xiaoyu Wang*, Gang Hua, and Tony X. Han, “Discriminative Tracking by Metric Learning“, in Proc. 11th European Conference on Computer Vision (ECCV’2010), Hersonissons, Heraklion, Crete, Greece, September, 2010.
  3. Dahua Lin*, Ashish Kapoor, Gang Hua, and Simon Baker, “Joint People, Event, and Location Recognition in Personal Photo Collections using Cross-Domain Context“, in Proc. 11th European Conference on Computer Vision (ECCV’2010), Hersonissons, Heraklion, Crete, Greece, September, 2010.
  4. Shiliang Zhang*, Qingming Huang, Gang Hua, Shuqiang Zhang, Wen Gao, and Qi Tian, “Building Contextual Visual Vocabulary for Large-scaleImage Applications“, in Proc. ACM International Conf. on Multimedia, Firenze, Italy, October, 2010.
  5. Xian-Sheng Hua, Gang Hua, and Chang Wen Chen, “ACM Workshop on Mobile Cloud Media Computing,” in Proc. ACM International Conf. on Multimedia, Firenze, Italy, October, 2010.
  6. Matthew L. Hill, Gang Hua, Apostol Natsev, John R. Smith, Lexing Xie, Bert Huang, Michele Merler, Hua Ouyang, Mingyuan Zhou, “IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System.” NIST TRECVID Workshop, 2010.
  7. Yan Gao, Alok Choudhary, and Gang Hua, “A Nonnegative Sparsity Induced Similarity Measure with Application to Cluster Analysis of Spam Images“, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2010), Dallas, TX, March, 2010. (Oral presentation).

2009

  1. John Wright* and Gang Hua, “Implicit Elastic Matching with Random Projections for Pose-variant Face Recognition“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2009), Miami Beach, FL, June, 2009. (Oral presentation)
  2. Zhe Lin*, Gang Hua, and Larry S. Davis, “Multiple Instance Feature for Robust Part-based Object Detection“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2009), Miami Beach, FL, June, 2009.
  3. Simon Winder, Gang Hua, and Matthew Brown, “Picking the Best DAISY“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2009), Miami Beach, FL, June 2009.
    Gang Hua and Amir Akbarzadeh, “A Robust Elastic and Partial Matching Metric for Face Recognition“, in Proc. IEEE 12th International Conf. on Computer Vision (ICCV’2009), Kyoto, Japan, October, 2009.
  4. Ashish Kapoor, Gang Hua, Amir Akabarzadeh, and Simon Baker, “Which faces to Tag: Adding Prior Constraints into Active Learning“, in Proc. IEEE 12th International Conf. on Computer Vision (ICCV’2009), Kyoto, Japan, October, 2009.
  5. Shiliang Zhang*, Qi Tian, Gang Hua, Qingming Huang, and Shipeng Li, “Descriptive VisualWords: the Visual Correspondences of Text Words“, in Proc. ACM International Conference on Multimedia, , Beijing, China, October, 2009.
  6. Gang Hua, Cha Zhang, Zicheng Liu, Zhengyou Zhang and Ying Shan, “Efficient Scalespace Spatiotemporal Saliency Tracking for Distortion-Free Video Retargeting“, in Proc. The 9th Asian Conf. on Computer Vision(ACCV’2009), Xi’an, China, September, 2009.
  7. Gang Hua and Qi Tian, “What Can Visucal Content Analysis Do for Text Based Image Search?“, , in Proc. IEEE International Conference on Multimedia and Expo (ICME’2009), invited, Special Session on Challenges in Large-Scale Image Retrieval, Cancun, Mexico, 2009.

2008

  1. David Liu*, Gang Hua, and Tsuhan Chen, “VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest“, in Proc. the 10th European Conference on Computer Vision (ECCV’2008), Marseille, France, 2008.
  2. David Liu*, Gang Hua, Paul Viola, and Tsuhan Chen, “Integrated Feature Selection and Higher-order Spatial Feature Extraction for Object Categorization“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2008), Anchorage, AK, 2008.
  3. Aayushi Sharma*, Gang Hua, Zicheng Liu, and Zhengyou Zhang, “Meta-tag propagation by Co-training an Ensemble Classifier for Improving Image Search Relevance“, in Proc. 1st IEEE Internal Workshop on Internet Vision, in Conjunction with IEEE Conf. on Computer Vision and Pattern Recognition(CVPR’2008), Anchorage, AK, 2008.

2007

  1. Gang Hua, Matthew Brown, and Simon Winder, “Discriminant Embedding for Local Image Descriptors“, in Proc. IEEE International Conference on Computer Vision, (ICCV’2007), Rio de Janeiro, Brazil, 2007.
  2. Gang Hua, Ting-Yi Yang, and Srinath Vasireddy, “PEYE: Toward a Visual Motion Based Perceptual Interface for Mobile Devices“, in Proc. IEEE International Workshop on Human Computer Interaction, in Conjunction with IEEE International Conference on Computer Vision, (ICCV-HCI’2007), Lecture Notes in Computer Science 4796, pp.39-48, Springer 2007, ISBN 978-3-540-75772-6
  3. Gang Hua, Paul Viola, and Steven Drucker, “Face Recognition using Discriminatively Trained Orthogonal Rank One Tensor Projections“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2007), Minneaplois, MN, 2007.
  4. Yang Wang, Zicheng Liu, Gang Hua, Zhen Wen, Zhengyou Zhang, and Dimitris Samaras, “Face Re-Lighting from a Single Image under Harsh Lighting Conditions“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2007), Minneaplois, MN, 2007.

2006

  1. Gang Hua, Zicheng Liu, Zhengyou Zhang and Ying Wu, “Automatic Business Card Scanning with a Camera“, in Proc. IEEE International Conf. on Image Processing (ICIP’2006) , pp.373-376, Atlanta, GA, Octobor, 2006.
  2. Gang Hua and Ying Wu, “Measurement Integration Under Inconsistency for Robust Tracking“, in Proc. IEEE conf. on Computer Vision and Pattern Recognition (CVPR’2006), Vol.1, pp.650-657, New York City, NY, June 2006.
  3. Zhimin Fan, Ming Yang, Ying Wu, Gang Hua and Ting Yu, “Efficient Optimal Kernel Placement for Reliable Visual Tracking“, in Proc. IEEE conf. on Computer Vision and Pattern Recognition (CVPR’2006), Vol.1, pp.658-665, New York City, NY, June 2006.

2005

  1. Gang Hua, Ming-Hsuan Yang and Ying Wu, “Learning to Estimate Human Pose with Data Driven Belief Propagation“, in Proc. IEEE conf. on Computer Vision and Pattern Recognition (CVPR’2005), Vol.2, pp. 747-754, San Diego, CA, June, 2005.
  2. Ying Wu, Ting Yu and Gang Hua,”A Statistical Field Model for Pedestrian Detection“, in Proc. of IEEE conf. on Computer Vision and Pattern Recognition (CVPR’2005) , Vol.1, pp.1023-1030, San Diego, CA, June, 2005.
  3. Gang Hua and Ying Wu, “Capturing Human Body Motion from Video for Perceptual Interfaces by Sequential Variational MAP“, Invited, in Proc. 11th International Conference on Human-Computer Interaction (HCII’2005) , Las Vegas, Nevada, July, 2005.

2004

  1. Gang Hua and Ying Wu, “Multi-scale Visual Tracking by Sequential Belief Propagation“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2004), Vol.1, pp. 826-833, Washington, DC, June, 2004.
  2. Gang Hua, Ying Wu and Ting Yu, “Analyzing Structured Deformable Shapes Via Mean Field Monte Carlo“, in Proc. IEEE Asia conf. on Computer Vision (ACCV’2004), Jeju Island, Korea, Jan., 2004.

2003

  1. Ying Wu, Gang Hua and Ting Yu, “Tracking Articulated Body by Dynamic Markov Network“, in Proc. IEEE International conf. on Computer Vision (ICCV’2003), pp.1094-1101, Nice, France, Oct., 2003.
  2. Ying Wu, Gang Hua and Ting Yu, “Switching Observation Models for Contour Tracking in Clutter“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’2003), Vol.1, pp.295-302, Madison, Wisconsin, June, 2003.
  3. Ying Wu, Ting Yu and Gang Hua, “Tracking Appearances with Occlusions“, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition(CVPR’2003), Vol.I, pp.789-795, Madison, Wisconsin, June, 2003.

Prior to 2003

  1. Gang Hua and Nanning Zheng, “A new statistic prediction model and application in arithmetic coding”, in Proc. Sixth Biennial International Conference for Young Computer Scientist (ICYCS’2011) , Vol.2, pp1065-1067 Hangzhou, China, Oct., 2001.
  2. Gang Hua and Nanning Zheng, “DSP realization of a new statistical-entropy coding algorithm”, in Proc. Seventh Annual Conference of Chinese Institute of Electronics for Young Scientists (CIE-YC’2011) , Urumchi, China, Aug., 2001. (In Chinese)

Issued Patents:

  1. Gang Hua, Noel C. F. Codella, Apostol Natsev, John R. Smith, Liangliang Cao, and Leiguang Gong, “Techniques for Spatial Semantic Attribute Matching for Location Identification,” US Patent NO.9251433, Filed on 02/02/2012, Issued on 02/02/2016.
  2. Gang Hua, Cha Zhang, Zhengyou Zhang, Zicheng Liu, and Ying Shan, “Video Retargeting”, US Patent pending, US Patent NO.9240056, Filed on 04/02/2008, Issued on 01/19/2016.
  3. Noel C. F. Codella, Gang Hua, John R. Smith, and Liangliang Cao, “Techniques for Ground-Level Photo Geolocation using Digital Elevation,” US Patent NO.9165217, Filed on 01/18/2013, Issued on 10/20/2015.
  4. Gang Hua, John Wright, and Amir Akbarzadeh, “Pose-variant face recognition using multiscale local descriptors,” US Patent NO.8712109, Filed on 05/08/2009, Issued on 04/29/2014.
  5. Simon Baker, Ashish Kapoor, Gang Hua, and Dahua Lin, “Image Tagging based upon Cross Domain Context,” US Patent NO.8645287, Filed on 02/04/2010, Issued on 02/04/2014.
  6. Amir Akbarzadeh, and Gang Hua, “Recognition of Faces using Prior Behavior”, US Patent NO.8644563 Filed on 12/14/2009, Issued on 02/04/2014.
  7. Lance Williams, Xiaohui Shen, and Gang Hua, “Method and Apparatus for Determining Motion,” US Patent NO.8610831, Filed on 10/12/2010, Issued on 12/17/2013.
  8. Amir Akbarzadeh and Gang Hua, “Flexible Image Comparison and Face Matching Application”, US Patent NO.8526684, Filed on 12/14/2009, Issued on 09/03/2013.
  9. Ashiah Kapoor, Gang Hua, Amir Akbarzadeh, and Simon Baker, “Assisted Face Recognition Tagging,” US Patent NO.8325999, Filed on 06/08/2009, Issued on 12/04/2012.
  10. Gang Hua, Paul Viola, and David Liu, “Feature Selection and Extraction,” US Patent NO.8244044, Filed on 04/25/2008, Issued on 08/14/2012.
  11. Srinath Vasireddy, Sergey Chub, Gang Hua, and Ting-yi Yang, “Detecting Visual Gestural Pattern,” US Patent NO.8144780, Filed on 09/24/2007, Issued on 03/27/2012.
  12. Gang Hua, and Paul Viola, “Image Classification,” US Patent NO.8131066, Filed on 04/04/2008, Issued on 03/06/2012.
  13. Matthew Brown, Gang Hua, and Simon Winder, “Local Image Descriptors Using Linear Discriminant Embedding,” US Patent NO.8023742, Filed on 10/09/2007, Issued on 09/20/2011.
  14. Gang Hua, Steven Drucker, Michael Revow, Paul Viola, and Richard Zemel, “Image Organization based on Image Content,” US Patent NO.8027541, Filed on 03/15/2007, Issued on 09/27/2011.
  15. Zhengyou Zhang, Zicheng Liu, Gang Hua and Yang Wang, “Recovering Parameters from a Sub-optimal Image,” US Patent NO.8009880, Filed on 05/11/2007, Issued on 08/30/2011.
  16. Gang Hua, Paul Viola, Steven Drucker, and Michael Revow, “Face Recognition Using Discriminatively Trained Orthogonal Tensor Projections,” US Patent NO. 7936906, Filed on 06/15/2007, Issued on 05/03/2011.
  17. Zhengyou Zhang, Zicheng Liu, and Gang Hua, “Segmentation of Objects by Minimizing Global-local Variational Energy,” US Patent NO.7706610, Filed on 11/29/2005, Issued on 04/27/2010.
  18. Ming-Hsuan Yang, and Gang Hua, “Human Pose Estimation With Data Driven Belief Propagation,” US Patent NO.7212665, Foreign Reference NO. WO 2005/096216 WO 20051000, Filed on 11/03/2005, Issued on 05/01/2007.

Patents Pending:

  1. Gang Hua, Dongqing Zhang, and Zhanning Gao, “A Compact Video-Level Representation for Video Event Retrieval and REcognition,” US Patent Pending, 2016.
  2. Gang Hua, Peiran Ren, and Zhanning Gao, “Neural Aggregation Networks for Scalable Video Face Recognition,” US Patent Pending, 2016.
  3. Li Guan, Gang Hua, and Gerard Medioni, “Modeling Local Feature Groups for Object Recognition,” US Patent Pending, 2015.
  4. Gang Hua, “Tracking Assisted Multi-view Segmentation for Object Recognition,” US Patent Pending, 2015.
  5. Gang Hua and Gerard Medioni, “Motion Assisted Object Recognition,” US Patent Pending, 2015.
  6. Gang Hua and Haoxiang Li, “Flexible Part-based Representation for Real-world Face Recognition”, US Patent Application, Filed on 01/31/2015.
  7. Noel C. Codella, Gang Hua, and John R. Smith, “Static Image Segmentation,” US Patent Pending, Application NO. 14/277321, Filed on 05/14/2014.
  8. Simon Winder, and Gang Hua, “Computationally Efficient Local Image Descriptors”, US Patent pending, Application NO. 12/410469, Filed on 03/25/2009.
  9. Tao Mei, Xian-Sheng Hua, Shipeng Li, Tian Xia, and Gang Hua, “Video Quality Assessment,” US Patent pending, 2008.
  10. Zicheng Liu, Ying Shan, Cha Zhang, Gang Hua, and Zhengyou Zhang, “Efficient Image Displaying”, US Patent pending, Application NO. 12/039741, Filed on 02/29/2008

Projects

Publications

Videos