Dr. Antoni B. Chan

Assistant Professor
BSc MEng Cornell, PhD UC San Diego

Video, Image, and Sound Analysis Lab (VISAL)
Department of Computer Science
City University of Hong Kong

Office: Room Y6414, Academic Building (lift 9)
Phone: +852 3442 6509
Fax: +852 3442 0503
Email: abchan at cityu dot edu dot hk

Bio

Dr. Antoni Chan is an assistant professor at the City University of Hong Kong in the Department of Computer Science. Before joining CityU, he was a postdoctoral researcher in the Department of Electrical and Computer Engineering at the University of California, San Diego (UC San Diego). He received the Ph.D. degree from UC San Diego in 2008 studying in the Statistical and Visual Computing Lab (SVCL). He received the B.Sc. and M.Eng. in Electrical Engineering from Cornell University in 2000 and 2001. From 2001 to 2003, he was a Visiting Scientist in the Computer Vision and Image Analysis lab at Cornell. In 2005, he was a summer intern at Google in New York City. In 2012, he was the recipient of an Early Career Award from the Research Grants Council of the Hong Kong SAR, China.

Research Interests [more]

Computer Vision, Surveillance, Machine Learning, Pattern Recognition, Computer Audition, Music Information Retrieval
dynamic textures, motion segmentation, motion analysis, semantic image annotation, image retrieval, crowd counting, probabilistic graphical models, support vector machines, Bayesian regression, Gaussian processes, semantic music annotation and retrieval, music segmentation, feature extraction.

For more information about my current research projects, please visit my lab website.

Recent News [more]

  • [Jun 28, 2014] Paper "Understanding eye movements in face recognition using hidden Markov models" by T. Chuk, A.B. Chan and J.H. Hsiao accepted to Journal of Vision.
  • [Jun 04, 2014] Paper on "Look Over Here: Attention-Directing Composition of Manga Elements" by Ying Cao, Rynson Lau, and Antoni Chan was accepted to SIGGRAPH 2014.
  • [Jun 02, 2014] Workshop paper "Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network" by S. Li, Z.-Q. Liu, and A. B. Chan was accepted to CVPR DeepVision Workshop 2014.
  • [Jun 01, 2014] Conference paper "Joint Motion Segmentation and Background Estimation in Dynamic Scenes", by Adeel Mumtaz, Weichen Zhang, and Antoni B. Chan accepted to CVPR 2014.
  • [May 14, 2014] Two conference papers on eye fixations: "Understanding eye movements in face recognition with hidden Markov model" was presented at CICEM, and "Caucasian and Asian eye movement patterns in face recognition: A computational exploration using hidden Markov models" was presented at VSS.
  • Opportunities for graduate students and research assistants! If you are interested in joining the lab, please check this information.

Selected Publications [more]

  • Clustering hidden Markov models with variational HEM,
    E. Coviello, A. B. Chan, G.R.G. Lanckriet,
    Journal of Machine Learning Research (JMLR),
    15(Feb):697-747, Feb 2014. [pdf]
  • Clustering Dynamic Textures with the Hierarchical EM Algorithm for Modeling Video,
    A. Mumtaz, E. Coviello, G. R. G. Lanckriet, and A. B. Chan,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI),
    vol. 35(7), pp. 1606-21, Jul 2013. ©IEEE [pdf] (Appendix [link])
  • Counting People with Low-Level Features and Bayesian Regression,
    A.B. Chan and N. Vasconcelos,
    IEEE Trans. on Image Processing (TIP),
    vol. 21(4), pp 2160-77, Apr 2012. ©IEEE [pdf]
  • Generalized Gaussian Process Models,
    A. B. Chan and D. Dong,
    in IEEE Conf. Computer Vision and Pattern Recognition (CVPR),
    Colorado Springs, Jun 2011. ©IEEE [pdf] (supplemental [link])
  • Layered dynamic textures,
    A. B. Chan and N. Vasconcelos,
    IEEE Trans. on Pattern Analysis and Machine Intelligence: Special Issue on Probabilistic Graphical Models in Computer Vision (TPAMI),
    Vol. 31(10), pp. 1862-1879, Oct 2009. ©IEEE [pdf]
  • Modeling, clustering, and segmenting video with mixtures of dynamic textures,
    A. B. Chan and N. Vasconcelos,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI),
    Vol. 30(5), pp. 909-926, May 2008. ©IEEE [pdf]
  • Modeling music as a dynamic texture,
    L. Barrington, A. B. Chan, and G. R. G. Lanckriet,
    IEEE Trans. on Audio, Speech and Language Processing (TASLP),
    vol. 18 (3), pp. 602-612, Mar 2010. ©IEEE [pdf]
  • Supervised learning of semantic classes for image annotation and retrieval,
    G. Carneiro, A.B. Chan, P.J. Moreno, and N. Vasconcelos,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI),
    Vol. 29(3), pp. 394-410, Mar 2007. ©IEEE [pdf]
  • Google Scholar Google Scholar | Microsoft Academic Microsoft Academic Search

Teaching

  • CS 5487 (A) - Machine learning -- 2012/13, 2013/14.
  • CS 5301 (A) - Computer Programming -- 2012/13, 2013/14.
  • CS 2363 (A) - Computer Programming -- 2009/10, 2010/11, 2011/12.
  • CS 3306 (B) - Contemporary Programming Methods in Java -- 2009/10.
  • CS 4380 (B) - Web 2.0 Technologies -- 2010/11, 2011/12.
  • GE 1319 - Interdisciplinary Research for Smart Professionals.
  • Final Year Projects
  • Research Mentoring Scheme

Awards and Honors

  • Early Career Award, Research Grants Council of Hong Kong, 2012.
  • NSF IGERT Fellowship: Vision and Learning in Humans and Machines, UCSD, 2006-07.
  • Outstanding Teaching Assistant Award, ECE Department, UCSD, 2005-06.
  • Office of the President Award, UCSD, 2003.
  • Henry G. White Scholorship, Cornell University, 2001.
  • Knauss M. Engineering Scholorship, Cornell University, 2001.
  • GTE Fellowship, Cornell University, 2001.

Mailing Address:

Dr. Antoni Chan,
Department of Computer Science,
City University of Hong Kong,
Tat Chee Avenue,
Kowloon Tong, Hong Kong.