An introduction to the field of Computer Vision, focusing on the underlying algorithmic, geometric, and optic issues. The course starts with a brief overview of basic image processing topics (convolution, smoothing, and edge detection). It then proceeds on various image analysis topics: binary images, moments-based shape analysis, Hough transform, image formation, depth and shape recovery, photometry, motion, classification, and special topics.
An introduction to the large and diverse field of artificial intelligence. Topics include: problem-solving by search and constraint satisfaction; alpha-beta search for two-player games; and logic and knowledge representation, planning, learning, decision theory, statistical learning, and computer vision.
Schaefer School of Engineering & Science
Department:
Computer Science
Research & Education
Education
Ph.D., Electrical and Computer Engineering, Northwestern University, Evanston, IL (2006)
M.S., Pattern Recognition and Intelligent System, Xi'an Jiaotong University, Xi'an, Shaanxi Province, China (2002)
Computer vision, pattern recognition, and machine learning
Large scale visual data analytics with cloud computing
Human centered visual computing
First person view mobile vision
Experience & Service
Professional Service
Associate Editor
IAPR Journal of Machine Vision and Applications (MVA), 03/2011-Present
IEEE Transaction on Image processing (T-IP), 08/2010-Present
Guest Editor
International Journal of Computer Vision (IJCV), Special Issue on Mobile Vision, 2010
IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), Special Issue on Real-World Face Recognition 2010
Conference and Workshop Chair
Program Chair, The 2nd IEEE Intl. Workshop on Mobile Vision, with ICCV’2011 2011
General Chair, ICME’2011 Workshop on Vision and Graphics Computing for Multimedia ommunications (ICME-VGMC’2011), 2011
Proceedings and Workshops Chair, The Ninth IEEE Conference on Automatic Face and Gesture Recognition (FG’2011), 2011
Workshop Chair, Sino-USA Summer School in Vision Learning and Pattern Recognition (VLPR’2011), 2011
Workshop Chair, Sino-USA Summer School in Vision Learning and Pattern Recognition (VLPR’2010), 2010
Program Chair, ACM Multimedia Satellite Workshop on Mobile Cloud Media Computing, with ACM Multimedia 2010 2010
Program Chair, ECCV Workshop on Face Detection: Where we are, and what’s next?, with ECCV’2010 2010
Program Chair, IEEE Intl. Workshop on Mobile Vision, with CVPR’2010 2010
Area Chair
ACM International Conference on Multimedia (SIGMM), 2011
The Thirteenth IEEE International Conference on Computer Vision (ICCV), 2011
Appointments
Associate Professor, Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, (09/2011-Present)
Experience
Academic Visiting Researcher, IBM T. J. Watson Research Center, Hawthorne, NY, (09/2011-Present)
Adjunct Professor, Xi'an Jiaotong University, Xi'an, Shaanxi Province, China, (01/2011-Present)
Research Staff Member, IBM T. J. Watson Research Center, Hawthorne, NY, (07/2010-08/2011)
Senior Researcher, Nokia Research Center Hollywood, Santa Monica, CA, (08/2009-07/2010)
Scientist, Microsoft Live Labs Research, Redmond, WA, (07/2006-07/2009)
Consulting Service
Academic Visiting Researcher, IBM T. J. Watson Research Center, Hawthorne, NY, (09/2011-Present)
Achievements & Professional Societies
Patents & Inventions
3 US Patents and 17 US Patents Pending
Professional Societies
Senior Member, IEEE
Member, ACM
Selected Publications
Journals
Michele Merler, Bert Huang, Lexing Xie, Gang Hua, and Apostol Natsev. (2011). "Semantic Model Vectors for Complex Video Event Recognition", IEEE Trans. on Multimedia.
Shiliang Zhang, Qi Tian, Gang Hua, Qingming Huang, and Wen Gao. (2011). "Generating Descriptive Visual Words and Visual Phrases for Large-Scale Image Applications", IEEE Trans. on Image Processing, 20 (9), pp.2664-2677. Link .
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. 115 (3), pp.403-414. Link .
Xiaohui Shen, Gang Hua, Lance Williams, and Ying Wu. (2011). "Dynamic Hand Gesture Recognition: An Exemplar based Approach from Motion Divergence Fields", Image and Vision Computing, Invited submission to special issue on Best of FG’2011.
Matthew Brown, Gang Hua, and Simon Winder. (Jan 2011). "Discriminative Learning of Local Image Descriptors", IEEE Trans. on Pattern Analysis and Machine Intelligence, 33 (1), pp.43-57. Link .
Conference Proceedings
Noel C. F. Codella, Gang Hua, Apostol Natsev, and John R. Smith. (Dec 2011). "Towards Large Scale Land-cover Recognition of Satellite Images", Invited submission to The 8th International Conference on Information, Communications and Signal Processing (ICICS'2011), Singapore.
Le Wang, Jianru Xue, Nanning Zheng, Gang Hua. (Nov 2011). "Automatic Salient Object Extraction with Contextual Cue", Proc. IEEE International Conf. on Computer Vision (ICCV'2011), Barcelona, Spain. Link .
Xiang Huang, Gang Hua, Lance Williams, and Jack Tumblin. (Nov 2011). "What Characterizes a Shadow Boundary under the Sun and Sky?", Proc. IEEE International Conf. on Computer Vision (ICCV'2011), Barcelona, Spain. Link .
Zhenxing Niu, Gang Hua, Xinbo Gao, and Qi Tian. (Jun 2011). "Spatial-DiscLDA for Visual Recognition", Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2011), Colorado Springs, Colorado.
Xiaohui Shen, Gang Hua, Lance Williams, and Ying Wu. (Mar 2011). "Motion Divergence Fields for Dynamic Hand Gesture Recognition", Proc. IEEE 9th IEEE Conf. on Automatic Face and Gesture Recognition (FG'2011), Santa Barbara, CA. Link .
