Computer Vision and Artificial Intelligence

Gang Hua

Gang Hua, Ph.D.

Vice President and Chief Scientist

Wormpex AI Research

firstnamelastname AT gmail.com 

[Home][Research][Publications][Services][Collaboration]

[Vision Lab][Teaching] @Stevens Institute of Technology



Notes:

  • 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 Ph.D. or M.S. students at Stevens Institute of Technology
  • 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 Dongdong Chen, "Deep Conditional Image Generation: Towards Controllable Visual Pattern Modeling", in Advanced Methods and Deep Learning in Computer Vision, editted by E .R. Davies and Matthew Turk, Elsevier, 2021.
  2. Jiaolong Yang and Gang Hua, "Deep Learning for Video Face Recognition," in Deep Learning-based Face Analytics, editted by Nalini Ratha, Vishal Patel and Rama Chellappa, Springer 2021.
  3. Gang Hua, "Deep Generative Models," in Computer Vision: A Reference Guide, Second Edition, edited by Katsushi Ikeuchi, Springer 2020.
  4. Dongdong Chen, Lu Yuan and Gang Hua, "Deep Style Transfer," in Computer Vision: A Reference Guide, Second Edition, edited by Katsushi Ikeuchi, Springer 2020.
  5. Dongdong Chen, Lu Yuan and Gang Hua, "Texutre Synthesis," in Computer Vision: A Reference Guide, Second Edition, edited by Katsushi Ikeuchi, Springer 2020.
  6. Gang Hua and Herve Jegou, (Editors) "Computer Vision - ECCV Workshops Proceedings Part I & II & III," Lecture Notes in Computer Science, Vol. 9913,9914,9915, Springer, 2016. (ISBN: 978-3-319-46603-3, 978-3-319-48880-6, 978-3-319-49408-1)
  7. Gang Hua and Xian-Sheng Hua, (Editors) "Mobile Cloud Visual Media Computing: From Interaction to Service," Springer, 2015. (ISBN: 978-3-319-24700-7)
  8. 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)
  9. 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)
  10. Matthew Turk and Gang Hua, "Vision based Interaction," Sythesis Lectures on Computer Vision, Morgan and Claypool, 2013. (ISBN: 978-1-60845-241-5)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. Gang Hua, "Probabilistic Variational Methods for Vision based Complex Motion Analysis", Ph.D. Dissertation , Northwestern University, May, 2006.
  16. 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)
  17. 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. Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Kui Zhang, Gang Hua, and Nenghai Yu, "PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition," IEEE Tran. on Image Processing (T-IP), 2024. (To appear)
  2. Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Gang Hua, and Nenghai Yu, ``Deep Image Matting with Sparse User Interactions,'' IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2024 (To appear)
  3. Yuehai Chen, Jing Yang, Badong Chen, Shaoyi Du, and Gang Hua, "Tolerating Annoation Displacement in Dense Object Counting via Point Annotation Probability Map," IEEE Trans. on Image Processing (T-IP), 2024. (To appear)
  4. Kun Xia, Le Wang, Yichao Shen, Sanping Zhou, Gang Hua and Wei Tang, ``Exploring Action Centers for Temporal Action Localization,'' IEEE Trans. on Multimedia (T-MM), 2024. (To appear)
  5. Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng, and Gang Hua, ``Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification,'' Pattern Recognition, Vol.145, No.109973, 2024.
  6. Haozhe Chen, Hang Zhou, Jie Zhang, Dongdong Chen, Weiming Zhang, Kejiang Chen, Gang Hua, and Nenghai Yu, ``Perceptual Hashing of Deep Convolutional Neural Networks for Model Copy Detection,'', ACM Transaction on Multimedia Computing, Communications and Applications, Vol.19, No. 3 pp.1-123, March, 2023.
  7. Liushuai Shi, Le wang, Chengjiang Long, Sanping Zhou, Wei Tang, Nanning Zheng, and Gang Hua, ``Representing Multimodal Behaviors with Mean Location for Pedestrian Trajectory Prediction,'' IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.45, No.9, pp.11184-11202, September 2023
  8. Zixin Zhu, Le Wang, Wei Tang, Nanning, Zheng, and Gang Hua, ``ContextLoc++: A Unified Context Model for Temporal Action Localization'', {\em IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)}, Vol.45, No.8, pp.9504-9519, August 2023.
  9. Le Wang, Junwen Tian, Sanping Zhou, Haoyue Shi, and Gang Hua, "Memory-Augmented Appearance-Motion Network for Video Anomaly Detection", Pattern Recognition (PR), 2023. (accepted)
  10. Zhentao Tan, Qi Chu, Menglei Chai, Dongdong Chen, Jing Liao, Qiankun Liu, Bin Liu, Gang Hua, and Nenghai Yu, "Semantic Probability Distribution Modeling for Diverse Semantic Image Synthesis," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 (accepted)
  11. Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Nanning Zheng, David Doermann, Junsong Yuan, and Gang Hua, "Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization", IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 (accepted)
  12. Mohammed Kutbi, Haoxiang Li, Yizhe Chang, Bo Sun, Xin Li, Changjiang Cai, Nikolaos Agadakos, Gang Hua, Philippos Mordohai, "Egocentric Computer Vision for Hands-Free Robotic Wheelchair Navigation," Journal of Intelligent and Robotic Systems, Vol.107, NO.10, January, 2023.
  13. Le Wang, Hongzhen Liu, Sanping Zhou, Wei Tang, and Gang Hua, "Instance Motion Tendency Learning for Video Panoptic Segmentation", IEEE Transactions on Image Processing (T-IP), Vol. 32, pp.764-778, December 2022.
  14. Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, and Nenghai Yu, "Efficient Semantic Image Synthesis via Class-Adaptive Normalization," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 44, No. 9, pp. 4852-4866, September, 2022.
  15. Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, and Nenghai Yu,"Deep Model Intellectual Property Protection via Deep Watermarking,"IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 44, No. 8, pp. 4005-4020, August 2022.
  16. Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Nanning Zheng, and Gang Hua, "Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks ," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 44, No. 9, pp. 5886-5902, Septempber, 2022.
  17. Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Nanning Zheng, and Gang Hua, "Action Coherence Network for Weakly-Supervised Temporal Action Localization", IEEE Transactions on Multimedia (T-MM), Vol. 24, pp.1857-1870, 2022.
  18. Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Lu Yuan, Gang Hua, Nenghai Yu, "E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion," IEEE Trans. Image Processing (T-IP), Vol.31 pp.3267-3280, 2022.
  19. Jie Zhang, Dongdong Chen, Qidong Huang, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, and Nenghai Yu, "Poison Ink: Robust and Invisible Backdoor Attack," IEEE Transaction on Image Processing (T-IP), Vol.31, pp.5691-5705, 2022.
  20. Kun Xia, Le Wang, Sanping Zhou, Gang Hua, Wei Tang, "Dual relation network for temporal action localization," Pattern Recognition, Vol.129, No.108725, September, 2022.
  21. Xuelu Feng, Sanping Zhou, Zixin Zhu, Le Wang, and Gang Hua, "Local to Global Feature Learning for Salient Object Detection," Pattern Recognition Letter, Vol. 162, pp.81-88, 2022.
  22. Haoyue Shi, Le Wang, Nanning Zheng, Gang Hua, and Wei Tang, "Loss Functions for Pose Guided Person Image Generation", Pattern Recognition, Vol. 122, No.108351, Feb. 2022.
  23. Gang Hua, Derek Hoiem, Abhinav Gupta, and Zhuowen Tu, "Introduction to the Special Section on CVPR2019 Best Papers," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.43, No.12, pp.4203-4204, December 2021.
  24. Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, and Gang Hua, "Explicit Filterbank Learning for Neural Image Style Transfer and Image Processing," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 43, No. 7, pp. 2373-2387, July 2021.
  25. Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, and Baoquan Chen, "A General Decoupled Learning Framework for Parameterized Image Operators," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.43, No.1, pp.33-47, January 2021.
  26. Le Wang, Xin Lv, Qilin Zhang, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Object Cosegmentation in Noisy Videos with Multilevel Hypergraph," IEEE Trans on Multimedia (T-MM), Vol. 23, pp. 1287-1300, 2021.
  27. Le Wang, Rizhi Ding, Yunhao Zhai, Qilin Zhang, Wei Tang, Nanning Zheng, and Gang Hua, "Giant Panda Identification," IEEE Trans. on Image Processsing (T-IP), Vol. 30, pp. 2837-2849, 2021.
  28. Le Wang, Changbo Zhai, Qilin Zhang, Wei Tang, Nanning Zheng, and Gang Hua, "Graph-based Temporal Action Co-Localization from an Untrimmed Video", Neurocomputing, Vol. 434, pp. 211-223, 2021.
  29. Mohammed Kutbi, Xiaoxue Du, Yizhe Chang, Bo Sun, Nikolaos Agadakos, Haoxiang Li, Gang Hua, and Philippos Mordohai, "Usability Studies of an Egocentric Vision based Robotic Wheelchair," ACM Trans. on Human Robot Interaction, Vol. 10, Issue 1, No. 4, pp. 1-23, 2021.
  30. Dengpan Fu, Bo Xin, Jingdong Wang, Dongdong Chen, Jianmin Bao, Gang Hua, and Houqiang Li, "Improving Person Re-identification with Iterative Impression Aggregation," IEEE Trans. on Image Processing (T-IP), Vol. 29, pp. 9559-9571, 2020.
  31. Dongdong Chen, Qingnan Fan, Jing Liao, Angelica Aviles-Rivero, Ziyi Wan, Lu Yuan, Nenghai Yu, and Gang Hua, "Controllable Image Processing via Adaptive FilterBank Pyramid," IEEE Trans. on Image Processing (T-IP), Vol. 29, pp. 8043-8054, 2020.
  32. Long Lan, Xinchao Wang, Gang Hua, Dacheng Tao, and Thomas Huang, "Semi-online Multi-people Tracking by Re-identification," International Journal of Computer Vision (IJCV), Vol. 128, No. 7, pp. 1937-1955, 2020.
  33. Zhanning Gao*, Le Wang, Nebojsa Jojic, Nanning Zheng, and Gang Hua, "Video Imprint," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 41, No. 12, pp.3086-3099, December 2019.
  34. Bing Su and Gang Hua, "Order-preserving Optimal Transport for Distances between Sequences," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 41, No. 12, pp.2961-2974, December 2019.
  35. Bin Dai, Yu Wang, John Aston, Gang Hua, and David Wipf, "Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models," Journal of Machine Learning Research (JMLR), Vol.19, No.9, pp.1-41, September 2018.
  36. Yu Wang, Bin Dai, John Aston, Gang Hua, and David Wipf, "Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers," IEEE Journal of Selected Topics in Signal Processing, Vol.12, No. 6, pp.1515-1627, June 2018.
  37. Ziyi Liu, Le Wang, Gang Hua, Qilin Zhang, Zhenxing Niu, Ying Wu, and Nanning Zheng, "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks", IEEE Transactions on Image Processing (T-IP), Vol. 27, Issue 12, pp. 5840-5853, December, 2018.
  38. Haoxiang Li^ and Gang Hua, "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-world Face Verification," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.40, No.4, pp.918-930, April 2018.
  39. Gang Hua, Chengjiang Long^, Ming Yang, and Yan Gao, "Collaborative Active Visual Recognition from Crowds: An Distributed Ensemble Approach," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.40, NO.3, pp.582-594, March 2018.
  40. Le Wang, Xuhuan Duan, Qilin Zhang, Zhenxing Niu, Gang Hua, and Nanning Zheng, "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation," Sensors, Vol.18, No.5, pp.1657-, May 2018.
  41. Le Wang, Jinliang Zang, Qilin Zhang, Zhenxing Niu, Gang Hua, and Nanning Zheng, "Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network," Sensors, Vol.18, No.7 pp.1979-, 2018
  42. Lamberto Ballan, Shih-Fu Chang, Gang Hua, Thomas Mensink, Greg Mori, and Rahul Sukthankar, "Guest Editorial: CVIU Special Issue on Computer Vision and the Web," Computer Vision and Image Understanding (CVIU), Vol. 173, pp.1-1, 2018
  43. Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, and Sing Bing Kang, "Visual Attribute Transfer through Deep Image Analogy," ACM Trans. on Graphics, (Proc. of SIGGRAPH'2017), Vol.36, No.4, pp.120:1-120:15, August, 2017.
  44.  Zhenxing Niu, Gang Hua, Le Wang, and Xinbo Gao, "Knowledge based Topic Model for Unsupervised Object Discovery and Localization," IEEE Trans. on Image Processing (T-IP), Vol.27, NO.1, pp.50-63, January 2018.
  45. Chong Sun, Fu Li, Huchuan Lu, and Gang Hua, "Visual Tracking via Joint Discriminative Appearance Learning," IEEE Trans. on Circuits Systems and Video Technology (T-CSVT), Vol.27, NO.12, pp.2567-2577, December, 2017.
  46. Le Wang, Gang Hua, Rahul Sukthankar, Jianru Xue, Zhenxing Niu, and Nanning Zheng, "Video Object Discovery and Co-Segmentation with Extremely Weak Supervision," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.39, NO.10, pp.2074-2088, October 2017.
  47. Dapeng Chen*, Zejian Yuan, Jingdong Wang, Badong Chen, Gang Hua, and Nanning Zheng, "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification." International Journal of Computer Vision (IJCV), Vol.123 Issue.3, pp.392-414, June, 2017.
  48. Dapeng Chen*, Zejian Yuan, Gang Hua, Jingdong Wang, and Nanning Zheng, "Multi-timescale Collaborative Tracking," IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.39, NO.1, January 2017.
  49. 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 (T-ITS), Vol.17, No.4, April, 2016.
  50. 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 (CVIU), Vol.116, Issue.2, pp.136-160, January, 2016.
  51. Qilin Zhang^, Gang Hua, Wei Liu, Zicheng Liu, and Zhengyou Zhang, "Auxiliary Training Information Assisted Visual Recognition," IPSJ Computer Vision and Application (CVA), Special Issue on Best of ACCV’2014, Vol.7, pp.138-150, 2015.
  52. 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 (T-IP), Vol.24, No.12, pp.5739-5752, 2015.
  53. 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.
  54. Wenwu Zhu, Peng Cui, Zhi Wang, and Gang Hua, "Multimedia Big Data Computing," IEEE Multimedia, Vol.22, No.3, pp.96-103, July 2015.
  55. 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 (MVA), Vol. 26, Issue 4, pp. 533-548, May 2015.
  56. 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 (CVIU), Vol. 136, pp. 3-13, July 2015.
  57. 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.
  58. 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 (T-IP), Vol.23, No.9, pp.4070-4086, September, 2014.
  59. Yue Gao, Rongrong Ji, Peng Cui, Qionghai Dai, and Gang Hua, "Hyperspectral Image Classification Through Bilayer Graph Based Learning", IEEE Trans. on Image Processing (T-IP), Vol.23, NO.7, pp.2769-2778, July 2014.
  60. 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 (CVIU), special issue on Learning from Multiple Evidences for Large Scale Multimedia Analysis, Vol. 118, pp.16-29, January 2014.
  61. 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)
  62. 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.
  63. 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.
  64. 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 (IVC), Special issue on Best of FG'2011, Volume 30, Issue 3, pp.227-235, March 2012.
  65. Michele Merler*, Bert Huang, Lexing Xie, Gang Hua, and Apostol Natsev, "Semantic Model Vectors for Complex Video Event Recognition", IEEE Trans. on Multimedia (T-MM), Vol. 14, Issue 1, pp.88-101, February, 2012 .
  66. Gang Hua, Yun Fu, Matthew Turk, Marc Pollefeys, and Zhengyou Zhang, "Introduction to the Special Issue on Mobile Vision", International Journal on Computer Vision (IJCV), Vol. 96, No. 3, pp.277-279, February, 2012.
  67. 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 (T-PAMI), Vol. 33, Issue 10, pp.1921-1924, October, 2011.
  68. 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 (T-IP), Vol. 20, No.9, pp.2664-2677, September, 2011.
  69. 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 (CVIU),  special issue on Featureoriented Image and Video Computing for Extracting Contexts and Semantics, Vol. 115, Issue 3, pp.403-414, March, 2011.
  70. Matthew Brown, Gang Hua, and Simon Winder, "Discriminative Learning of Local Image Descriptors", IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.33, No.1, pp.43-57, January, 2011
  71. 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 (T-IFS), Vol.5, Issue.4, December, 2010.
  72. 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
  73. David Liu*, Gang Hua, and Tsuhan Chen, "A Hierarchical Visual Model for Video Object Summarization", IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.32, No.12, pp.2178-2190, December, 2010.
  74. 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 (T-PAMI), Vol.31, No.11, pp.1968-1984, November, 2009.
  75. Ming Yang, Ying Wu, and Gang Hua, "Context-aware Visual Tracking", IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.31, No.7, pp.1195-1209, July, 2009.
  76. 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.
  77. 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 (T-PAMI), Vol.28, No.10, pp.1701-1706, October, 2006.
  78. 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.
  79. Gang Hua and Ying Wu, "Variational Maximum a Posteriori by Annealed Mean Field Analysis", IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.27, No.11, pp.1747-1781, November, 2005.
  80. 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)
  81. 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:

2024

  1. Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, and Aniket Bera, "DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2024), Seattle, WA, June 2024.
  2. Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, and Ying Wu, "Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2024), Seattle, WA, June 2024.
  3. Zheng Qin, Le Wang, Sanping Zhou, Panpan Fu, Gang Hua, and Wei Tang, "Towards Generalizable Multi-Object Tracking," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2024), Seattle, WA, June 2024.
  4. Pengfei Wu, Le Wang, Sanping Zhou, Gang Hua, and Changyin Sun, "Temporal Correlation Vision Transformer for Video Person Re-Identification," in Proc. The Thirty-Eighth AAAI Conf. on Artificial Intelligence (AAAI’2024), Vancouver, BC, Canada, February 2024.

2023

  1. Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David Doermann, Junsong Yuan, and Gang Hua, "SOAR: Scene-debiasing Open-set Action Recognition," in Proc.IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  2. Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, and Gang Hua, "Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance," in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  3. Siming Yan, Zhenpei Yang, Haoxiang Li, Chen Song, Li Guan, Hao Kang, Gang Hua, and Qixing Huang, "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning,"in Proc.IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  4. Liushuai Shi, Le Wang, Sanping Zhou, and Gang Hua, “Trajectory Unified Transformer for Pedestrian Trajectory Prediction,” in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  5. Yonghao Dong, Le Wang, Sanping Zhou, and Gang Hua, “Sparse Instance Conditioned Multimodal Trajectory Prediction,” in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  6. Xingyu Liu, Sanping Zhou, Le Wang, and Gang Hua, “Parallel Attention Interaction Network for Few-Shot Skeleton-based Action Recognition,” in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  7. Kun Xia, Le Wang, Sanping Zhou, Gang Hua, and Wei Tang, “Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization,” in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  8. Qidong Huang, Xiaoyi Dong, Dongdong Chen, Yinpeng Chen, Lu Yuan, Gang Hua, Weiming Zhang, and Nenghai Yu, "Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting," in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  9. Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Gang Hua, and Nenghai Yu,"HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending," in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2023), Paris, France, 2-6 October, 2023.
  10. Zhicheng Sun, Yadong Mu and Gang Hua, "Regularizing Second-Order Influences for Continual Learning," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2023), Vancouver, Canada, June 2023.
  11. Bingxu Mu, Zhenxing Niu, Le Wang, Xue Wang, Qiguang Miao, Rong Jin and Gang Hua, "Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2023), Vancouver, Canada, June 2023.
  12. Zheng Qin, Sanping Zhou, Le Wang, Jinghai Duan, Gang Hua and Wei Tang, "MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2023), Vancouver, Canada, June 2023.
  13. Qidong Huang, Xiaoyi Dong, Dongdong Chen, Weiming Zhang, Feifei Wang, Gang Hua and Nenghai Yu, "Diversity-Aware Meta Visual Prompting," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2023), Vancouver, Canada, June 2023.
  14. Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael Ryoo and Gang Hua, "Weakly-guided Self-supervised Pretraining for Temporal Activity Detection," in Proc. The Thirty-Seventh AAAI Conf. on Artificial Intelligence (AAAI’2023), Washington, DC, February 2023.
  15. Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, and Humphrey Shi, "Boosted Dynamic Neural Networks," in Proc. The Thirty-Seventh AAAI Conf. on Artificial Intelligence (AAAI’2023), Washington, DC, February 2023.
  16. Yuxuan Wu, Le Wang, Sanping Zhou, Jinghai Duan, Gang Hua and Wei Tang, "Multi-stream Representation Learning for Pedestrian Trajectory Prediction," in Proc. The Thirty-Seventh AAAI Conf. on Artificial Intelligence (AAAI’2023), Washington, DC, February 2023.

2022

  1. Hongji Guo, Zhou Ren, Yi Wu, Gang Hua, Qiang Ji, "Uncertainty-Based Spatial-Temporal Attention for Online Action Detection,", in Proc. European Conference on Computer Vision (ECCV'2022), Tel Aviv, Israel, October, 2022.
  2. Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos, "Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition," in Proc. European Conference on Computer Vision (ECCV'2022), Tel Aviv, Israel, October, 2022.
  3. Zhenyu Wu, Zhou Ren, Yi Wu, Zhangyang Wang, Gang Hua, "TxVAD: Improved Video Action Detection by Transformers," in Proc. ACM International Conference on Multimedia (ACMMM'2022), Lisbon, Portugal, October, 2022.
  4. Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, and Gang Hua, "Learning Disentangled Classification and Localization Representations for Temporal Action Localization," in Proc. The Thirty-Sixth AAAI Conf. on Artificial Intelligence (AAAI'2022), Van Couver, Canada, February 2021.
  5. Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, and Gang Hua, "Social Interpretable Tree for Pedestrian Trajectory Prediction," in Proc. The Thirty-Sixth AAAI Conf. on Artificial Intelligence (AAAI'2022), Van Couver, Canada, February 2021.
  6. Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, and Gang Hua, "Complementary Attention Gated Network for Pedestrian Trajectory Prediction," in Proc. The Thirty-Sixth AAAI Conf. on Artificial Intelligence (AAAI'2022), Van Couver, Canada, February 2021.

2021

  1. Dongkai Wang, Shiliang Zhang, and Gang Hua, "Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference," in Proc. The Thirty-fifth Neural Information Processing Systems (NeurIPS'2021), Vancouver, Canada, 2021.
  2. Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng and Gang Hua, "Practical Relative Order Attack in Deep Ranking," in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2021), Montreal, Canada, October 2021.
  3. Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng and Gang Hua, "Enriching Local and Global Contexts for Temporal Action Localization," in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2021), Montreal, Canada, October 2021.
  4. Bo Liu, Haoxiang Li, Hao Kang, Gang Hua and Nuno Vasconcelos, "GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition," in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2021), Montreal, Canada, October 2021.
  5. Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng and Gang Hua, "Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification," in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2021), Montreal, Canada, October 2021.
  6. Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng and Gang Hua, "Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction," in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2021), Montreal, Canada, October 2021.
  7. Yifan Sun, Qixing Huang, Dun-Yu Hsiao, Li Guan, and Gang Hua, "Learning View Selection for 3D Scenes," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2021), Nashville, TN, June 2021.
  8. Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, and Gang Hua, "Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2021), Nashville, TN, June 2021.
  9. Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, and Gang Hua,  "SGCN: Sparse Graph Convolution for Pedestrian Trajectory Prediction," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2021), Nashville, TN, June 2021.
  10. Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu,  Gang Hua, and Nenghai Yu, "Diverse Semantic Image Synthesis via Probability Distribution Modeling," in Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR'2021), Nashville, TN, June 2021.
  11. Haichao Yu, Haoxiang Li,  Humphrey Shi, Thomas S. Huang and Gang Hua, "Any-Precision Deep Neural Networks," in Proc. The Thirty-Fifth AAAI Conf. on Artificial Intelligence (AAAI'2021), Van Couver, Canada, February 2021.
  12. Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, and Gang Hua, "ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization," in Proc. The Thirty-Fifth AAAI Conf. on Artificial Intelligence (AAAI'2021), Van Couver, Canada, February 2021.
  13. Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, and Gang Hua, "Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context," in Proc. The Thirty-Fifth AAAI Conf. on Artificial Intelligence (AAAI'2021), Van Couver, Canada, February 2021.

2020

  1. Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, and Nenghai Yu, "Passport-aware Normalization for Deep Model Protection," in Proc. the Thirty-fourth Neural Information Processing Systems (NeurIPS'2020), Vancouver, Canada, 2020.
  2. Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, and Gang Hua, "Two-Stream Consensus Networks for Weakly-Supervised Temporal Action Localization," in Proc. European Conf. on Computer Vision (ECCV'2020), Glasgo, Scotland, UK, August 2020 (Spotlight Oral)
  3. Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, and Gang Hua, "Adversarial Ranking Attack and Defense," in Proc. European Conf. on Computer Vision (ECCV'2020), Glasgo, Scotland, UK, August 2020.
  4. Chunluan Zhou, Zhou Ren, and Gang Hua, "Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking," in Proc. European Conf. on Computer Vision (ECCV'2020), Glasgo, Scotland, UK, August 2020.
  5. Bo Liu, Hao Kang, Haoxiang Li, Nuno Vasconcelos, and Gang Hua, "Few-Shot Open-Set Recognition using Meta-Learning," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2020), Seattle, Washington, June 2020.
  6. Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, and Gang Hua, "SaccadeNet: A Fast and Accurate Object Detector," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2020), Seattle, Washington, June 2020.
  7. Victor Fragoso, Joseph Degol, and Gang Hua, "gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2020), Seattle, Washington, June 2020.
  8. Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang, Gang Hua and Nenghai Yu "LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2020), Seattle, Washington, June 2020.
  9. Xiaoyi Dong, Dongdong Chen, Hang Zhou, Gang Hua, Weiming Zhang, and Nenghai Yu, "Self-Robust 3D Point Recognition via Gather-vector Guidance,",  in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2020), Seattle, Washington, June 2020.
  10. Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, and Gang Hua, "Ladder Loss for Coherent Visual-Semantic Embedding," in Proc. The Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI'2020), New York City, NY, February 2020.
  11. Haoyue Shi, Le Wang, Wei Tang, Nanning Zheng, and Gang Hua, "Loss Functions for Person Image Generation," in Proc. British Machine Vision Conference (BMVC'2020), Manchester UK, September 2020.
  12. Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang and Gang Hua, "Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification", in Proc. IEEE Winter Conf. on Applications of Computer Vision (WACV'2020), Snowmass village, Colorado, March 2020.
  13. Changbo Zhai, Le Wang, Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng and Gang Hua, "Action Co-Localization in an Untrimmed Video by Graph Neural Networks", in Proc. International Conference on Multimedia Modeling (MMM'2020), Daejeon, Korea, 5-8 January, 2020.
  14. Xinling Liu, Le Wang, Qilin Zhang, Nanning Zheng, and Gang Hua, "Joint Multi-Object Detection and Segmentation from an Untrimmed Video", in Proc. IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI'2020), Halkidiki, Greece, 5-7 June, 2020. (Oral Presentation)
  15. Rizhi Ding, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua, "Fine-grained Giant Panda Identification", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'2020), pp. 2108-2112, Barcelona, Spain, 4-8 May, 2020.

2019

  1. Ziyi Liu, Le Wang, Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks", in Proc. IEEE/CVF International Conference on Computer Vision (ICCV'2019),  Seoul, Korea, October, 2019.
  2. Yuanhao Zhai, Le Wang, Ziyi Liu, Qilin Zhang, Gang Hua, and Nanning Zheng, "Action Coherence Network for Weakly Supervised Temporal Action Localization", in Proc. IEEE International Conference on Image Processing (ICIP'2019), pp. 918-922, Taipei, Taiwan, September, 2019.
  3. Xiao Li, Peiran Ren, Yue Dong, Gang Hua, Xin Tong, Baining Guo, "Capturing Piecewise SVBRDFs with Content Aware Lighting," in Proc. Computer Graphics International, Calgary, AB, Canada, 2019.
  4. Haoliang Tan, Le Wang, Qilin Zhang, Zhanning Gao, Nanning Zheng, and Gang Hua, "Object Affordances Graph Network for Action Recognition", in Proc. British Machine Vision Conference (BMVC'2019), Cardiff, UK, September, 2019.
  5. Ishani Chakraborty and Gang Hua, "Priming Deep Pedestrian Detection with Geometric Context," in Proc. International Conference on Robotics and Automation (ICRA'2019), Palais des congres de Montreal, Montreal, Canada, May 2019.
  6. Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos,"  in Proc. The Thirty-Third AAAI Conf. on Artificial Intelligence (AAAI'2019), Hololulu, Hawaii, February 2019.
  7. Dongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, and Gang Hua,  "Gated Context Aggregation Network for Image Dehazing and Deraining," in Proc. IEEE Winter Conf. on Applications of Computer Vision, Honolulu, Hawaii, January 2019.

2018

  1. Navaneeth Bodla, Gang Hua, and Ramap Chellappa, "Semi-supervised FusedGAN for Conditional Image Generation," in Proc. European Conf. on Computer Vision (ECCV'2018), Munich, Germany, September 2018.
  2. Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua, "Optimized Quantization for Highly Accurate and Compact DNNs," in Proc. European Conf. on Computer Vision (ECCV'2018), Munich, Germany, September 2018.
  3. Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, and Xiaodong He, "Stacked Cross Attention for Image-Text Matching,"in Proc. European Conf. on Computer Vision (ECCV'2018), Munich, Germany, September 2018.
  4. Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, and Baoquan Chen, "Learning to Learn Parameterized Image Operators," in Proc. European Conf. on Computer Vision (ECCV'2018), Munich, Germany, September 2018.
  5. Jianmin Bao*, Dong Chen, Fang Wen, Houqiang Li, and Gang Hua, "Towards Open-Set Identity Preserving Face Synthesis," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2018), Salt Lake City, Utah, June 2018.
  6. Dongdong Chen*, Lu Yuan, Jing Liao, Nenghai Yu, and Gang Hua, "Stereoscopic Neural Style Transfer," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2018), Salt Lake City, Utah, June 2018.
  7. Qingnan Fan*,  David Wipf, Jiaolong Yang, Gang Hua, and Baoquan Chen, "Revisiting Deep Intrinsic Image Decompositions," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2018), Salt Lake City, Utah, June 2018.
  8. Xin Lv, Le Wang, Qilin Zhang, Nanning Zheng, and Gang Hua, "Video Object Co-segmentation from Noisy Videos by a Multi-level Hypergraph Model", in Proc. IEEE International Conference on Image Processing (ICIP'2018), Athens, Greece, 7-10 October, 2018.
  9. Xuhuan Duan, Le Wang*, Changbo Zhai, Qilin Zhang, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Joint Spatio-temporal Action Localization in Untrimmed Videos with Per-frame Segmentation", in Proc. IEEE International Conference on Image Processing (ICIP'2018), Athens, Greece, 7-10 October, 2018. (Oral Presentation)
  10. Jinliang Zhang, Le Wang, Zi-yi Liu, Qilin Zhang, Gang Hua, and Nanning Zheng, "Attention-Based Temporal Weighted Convolutional Neural Network for Action Recognition," in Proc. International Conf. on Artificial Intelligence Applications and Innovations (AIAI'2018), May 2018.

2017

  1. Dongdong Chen*, Jing Liao, Lu Yuan, Nenghai Yu, and Gang Hua, "Coherent Online Video Style Transfer," in Proc. IEEE International Conf. on Computer Vision (ICCV'2017), Venice, Italy, October, 2017.
  2. Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, and Gang Hua, "Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding," in Proc. IEEE International Conf. on Computer Vision (ICCV'2017), Venice, Italy, October, 2017.
  3. Jianmin Bao*, Dong Chen, Fang Wen, Houqiang Li, and Gang Hua, "CVAE-GAN: Fine-Grained Image Generation through Asymetric Training," in Proc. IEEE International Conf. on Computer Vision (ICCV'2017), Venice, Italy, October, 2017.
  4. Qingnan Fan*, Jiaolong Yang, Gang Hua, Baoquan Chen, and David Wipf, "A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing," in Proc. IEEE International Conf. on Computer Vision (ICCV'2017), Venice, Italy, October, 2017.
  5. Dongdong Chen*, Lu Yuan, Jing Liao, Nenghai Yu, and Gang Hua, "StyleBank: An Explicit Representation for Neural Image Style Transfer," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2017), Honolulu, Hawaii, July 2017.
  6. Jiaolong Yang*, Peiran Ren, Dongqing Zhang, Dong Chen, Fang Wen, Hongdong Li, and Gang Hua, "Neural Aggregation Networks for Video Face Recognition," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2017), Honolulu, Hawaii, July 2017.
  7. Zhanning Gao*, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Jianru Xue, and Nanning Zheng, "ER3: A Unified Framework for Event Retrieval, Recognition and Recounting," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2017), Honolulu, Hawaii, July 2017.
  8. Bing Su and Gang Hua, "Order-preserving Wasserstein Distance for Sequence Matching," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2017), Honolulu, Hawaii, July 2017.
  9. Xiangyu Kong*, Bo Xin, Yizhou Wang, and Gang Hua, "Collaborative Deep Reinforcement Learning for Joint Object Search," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2017), Honolulu, Hawaii, July 2017.
  10. Chengjiang Long^ and Gang Hua, "Correlational Gaussian Processes for Cross-domain Visual Recognition," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2017), Honolulu, Hawaii, July 2017.
  11. Wei Tang*, Gang Hua, and Liang Wang, "How to Train a Compact Binary Network with High Accuracy," in Proc. The Thirty-First AAAI Conf. on Artificial Intelligence (AAAI'2017), San Francisco, California, February 2017.
  12. Yu Wang, Bin Dai, Gang Hua, John Aston, and David Wipf, "Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoder," in Proc. International Conf. on Uncertainty in Artificial Intelligence, Sydney, Australia, August 2017.
  13. Chen Zhou, Jiaolong Yang, Chunshui Zhao, and Gang Hua, "Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots," in Proc. The Thirteenth IEEE Embedded Vision Workshop (in Conjunction with CVPR'2017), Honolulu, HI, 2017.

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 (IJCAI'16), New York City, NY, July 2016.
  5. Haoxiang Li^, Mohammed Kutbi, Xin Li, Changjiang Cai, Philippos Mordohai, and Gang Hua,"Attention Driven Egocentric Computer Vision based Co-Robot Wheelchair," in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'16), Daejeon, Korea, October 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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 and Gerard Guy Medioni, "Image partitioning for re-identification," US Patent NO.11462005B1, Priority on 09/28/2015, Filed on 03/16/2020, Issued on 10/04/2022.
  2. Dong Chen, Fang Wen, and Gang Hua, "Object detection based on joint feature extraction," US Patent NO.11430259B2, Priority: 09/09/2016, Filed on 09/26/2019, Issued on 08/30/2022.
  3. Dong Chen, Fang Wen, Gang Hua, and Jianmin Bao, "Face synthesis," US Patent NO. 11398062B2, Priority on 01/29/2018, Filed on 01/08/2019, Issued on 07/26/2022.
  4. Mandar Dilip Dixit and Gang Hua, "Neural network architecture for attention based efficient model adaptation," US Patent NO.11361225B2, Priority on 12/18/2018, Filed on 12/18/2018, Issued on 06/14/2022.
  5. Kuang-Huei Lee, Gang Hua, Xi Chen, Houdong Hu and Xiaodong He, "Stacked cross-modal matching," US Patent NO.11093560B2, Priority on 09/21/2018, Filed on 09/21/2018, Issued on 08/17/2021.
  6. John Corring, Gang Hua and Wei Tang, "Compositional model for text recognition," US Patent NO.US11037010B2, Priority on 01/11/2019, Filed on 01/11/2019, Issued on 06/15/2021.
  7.  Mandar Dixit, Bo Liu and Gang Hua, "Pose synthesis," US Patent NO.11030772B2, Priority on 06/03/2019, Filed on 06/03/2019, Issued on 06/08/2021.
  8. Gang Hua, Dongqing Zhang and Zhanning Gao, "Compact video representation for video event retrieval and recognition," US Patent NO.10986400B2, Priority on 08/04/2016, Filed on 08/04/2016, Issued on 04/20/2021.
  9. Gang Hua, Li Guan, Dilip Kumar and Gerard Guy Medioni, "System to search three-dimensional object data," US Patent NO.10902280B1, Priority on 09/28/2015, Filed on 09/28/2015, Issued on 01/26/2021.
  10. Gang Hua, "Associating an agent with an event using motion analysis," US Patent NO.10891736B1, Priority on 06/23/2015, Filed on 06/23/2015, Issued on 01/12/2021.
  11. Ishani Chakraborty and Gang Hua, "Detecting objects in crowds using geometric context," US Patent NO. 10818028B2, Priority on 12/17/2018, Filed on 12/17/2018, Issued on 10/27/2020.
  12. Gang Hua and Navaneeth Bodla, "Controllable Conditional Image Generation," US Patent NO.10748314B2, Priority on 02/15/2018, Filed on 02/15/2018, Issued on 08/18/2020.
  13. Gang Hua and Li Guan, "System to represent three-dimensional objects," US Patent NO.10339411, Filed on 09/28/2015, Issued on 07/02/2020.
  14. Gang Hua and Gerard Guy Medioni, "Composite agent representation," US Patent NO.10692231B1, Priority on 06/23/2015, Filed on 08/14/2019, Issued on 06/23/2020.
  15. Gang Hua and Gerard Guy Medioni, "Agent re-identification," US Patent NO.US10592742B1, Priority on 09/28/2015, Filed on 09/28/2015, Issued on 03/17/2020.
  16. Gang Hua and Gerard Guy Medioni, "Associating an agent with an event based on multiple inputs," US Patent NO.US10388019B1, Priority on 06/23/2015, Filed on 06/23/2015, Issued on 08/20/2019.
  17. Gang Hua, Peiran Ren, and Jiaolong Yang, "Frame aggregation network for scalable video face recognition," US Patent NO.10223612B2, Priority on 09/21/2016, Filed on 09/21/2016, Issued on 03/05/2019.
  18. Noel C. Codella, Gang Hua, and John R. Smith, "Static Image Segmentation," US Patent NO.US10049459B2, Priority on 05/14/2014, Filed on 01/28/2016, Issued on 08/14/2018.
  19. Lance Williams, Xiaohui Shen, and Gang Hua, "Method and Apparatus for Determining Motion," US Patent NO.9952671B2, Filed on 10/12/2010, Issued on 04/24/2018.
  20. 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.
  21. Gang Hua, Cha Zhang, Zhengyou Zhang, Zicheng Liu, and Ying Shan, "Video Retargeting," US Patent NO.9240056B2, Filed on 04/02/2008, Issued on 01/19/2016.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. Gang Hua, Steven Drucker, Michael Revow, Paul Viola, and Richard Zemel, "Image Organization based on Image Content," US Patent NO.8027541B2, Filed on 03/15/2007, Issued on 09/27/2011.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.


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