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Dr CHAN, Antoni Bert 陳萬師

BSc MEng Cornell, PhD UC San Diego, SMIEEE

Associate Professor

Dr CHAN, Antoni Bert

Contact Information

Office: AC1-G7311
Phone: +(852)-3442-6509
Fax: +(852)-3442-0503
Email: abchan@cityu.edu.hk
Web: Personal Homepage

Research Interests

  • Computer Vision
  • Surveillance
  • Machine Learning
  • Pattern Recognition
  • Computer Audition
  • Music Information Retrieval

Dr. Antoni Chan is an associate 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.

Research Laboratory

Video, Image, and Sound Analysis Lab

Publications

Journal Papers

  • Counting People with Low-Level Features and Bayesian Regression,
    A.B. Chan and N. Vasconcelos,
    IEEE Trans. on Image Processing (TIP),
    to appear, 2012.
  • Generalized Stauffer-Grimson background subtraction for dynamic scenes,
    A. B. Chan, V. Mahadevan, and N. Vasconcelos,
    Machine Vision and Applications,
    vol. 22(5), pp 751-766, Sep 2011. [PDF]
  • Time Series Models for Semantic Music Annotation,
    E. Coviello, A. B. Chan, and G. R. G. Lanckriet,
    IEEE Trans. on Audio, Speech and Language Processing (TASLP),
    vol. 19 (5), pp. 1343-1359, Jul 2011. ©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]
  • 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]
  • 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]
  • On Measuring the Change in Size of Pulmonary Nodules,
    A.P. Reeves, A.B. Chan, D.F. Yankelevitz, C.I. Henschke, B. Kressler, and W.J. Kostis,
    IEEE Transactions on Medical Imaging (TMI),
    Vol. 25(4), pp. 435-450, Apr 2006. ©IEEE [PDF]

Conference Papers

  • 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]
  • Genre Classification and the Invariance of MFCC Features to Key and Tempo,
    Tom LH. Li and A. B. Chan,
    in Intl. Conference on MultiMedia Modeling (MMM),
    Taipei, Jan 2011. [PDF]
  • Automatic music tagging with time series models,
    E. Coviello, L. Barrington, A. B. Chan, and G. R. G. Lanckriet,
    in International Society for Music Information Retrieval Conference (ISMIR),
    Utrecht, Aug 2010. [PDF]
  • Clustering Dynamic Textures with the Hierarchical EM Algorithm,
    A. B. Chan, E. Coviello, and G. R. G. Lanckriet,
    in IEEE Conf. Computer Vision and Pattern Recognition (CVPR),
    San Francisco, Jun 2010. ©IEEE [PDF]
  • Automatic Musical Pattern Feature Extraction Using Convolutional Neural Network,
    Tom LH. Li, A. B. Chan, and Andy HW. Chun,
    in Intl. MultiConference of Engineers and Computer Scientists (IMECS),
    Hong Kong, Mar 2010.
  • Bayesian Poisson Regression for Crowd Counting,
    A. B. Chan and N. Vasconcelos,
    in IEEE Intl Conf. on Computer Vision (ICCV),
    Kyoto, Sep 2009. ©IEEE [PDF]
  • Variational Layered Dynamic Textures,
    A. B. Chan and N. Vasconcelos,
    in IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
    Miami Beach, Jun 2009. ©IEEE [PDF]
  • Dynamic Texture Models of Music,
    A.B. Chan, L. Barrington, and G.R.G. Lanckriet,
    in Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP),
    Taipei, Apr 2009. ©IEEE [PDF]
  • Privacy Preserving Crowd Monitoring: Counting People without People Models or Tracking,
    A.B. Chan, Z.S.J. Liang, and N. Vasconcelos,
    in IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
    Anchorage, Jun 2008. ©IEEE [PDF]
  • Direct Convex Relaxations of Sparse SVM,
    A.B. Chan, N. Vasconcelos, and G.R.G. Lanckriet,
    in International Conference on Machine Learning (ICML),
    Corvallis, Jun 2007. [PDF] (this old version accidently truncated the last dimension of the "wine" dataset [link])
  • Classifying Video with Kernel Dynamic Textures,
    A.B. Chan and N. Vasconcelos,
    in IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
    Minneapolis, Jun 2007. ©IEEE [PDF]
  • Audio Information Retrieval using Semantic Similarity,
    L. Barrington, A.B. Chan, D. Turnbull, and G.R.G. Lanckriet,
    in International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    Honolulu, Apr 2007. [PDF]
  • Using Statistics to Search and Annotate Pictures: an Evaluation of Semantic Image Annotation and Retrieval on Large Databases,
    A.B. Chan, P.J. Moreno, and N. Vasconcelos,
    in Proceedings of the American Statistical Association,
    Seattle, Aug 2006. [PDF]
  • Layered Dynamic Textures,
    A.B. Chan and N. Vasconcelos,
    in Neural Information Processing Systems 18 (NIPS),
    pp. 203-210, Vancouver, Dec 2005. [PDF]
  • Mixtures of Dynamic Textures,
    A.B. Chan and N. Vasconcelos,
    in IEEE International Conference on Computer Vision (ICCV),
    Beijing, Oct 2005. ©IEEE [PDF]
  • Classification and Retrieval of Traffic Video using Auto-regressive Stochastic Processes,
    A.B. Chan and N. Vasconcelos,
    in 2005 IEEE Intelligent Vehicles Symposium (IEEEIV),
    Las Vegas, Jun 2005. ©IEEE [PDF]
  • Probabilistic Kernels for the Classification of Auto-regressive Visual Processes,
    A.B. Chan and N. Vasconcelos,
    in IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
    San Diego, Jun 2005. ©IEEE [PDF] (a longer version is available [link])

Workshop Papers

  • Analysis of Crowded Scenes using Holistic Properties,
    A. B. Chan, M. Morrow, and N. Vasconcelos,
    in 11th IEEE Intl. Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2009),
    Miami, Jun 2009. ©IEEE [PDF]

Technical Reports

  • Derivations for the Layered Dynamic Texture and Temporally-Switching Layered Dynamic Texture,
    A. B. Chan and N. Vasconcelos,
    Technical Report SVCL-TR-2009-01,
    Jun 2009. [PDF]
  • Duals of the QCQP and SDP Sparse SVM,
    A.B. Chan, N. Vasconcelos, and G.R.G. Lanckriet,
    Technical Report SVCL-TR-2007-02,
    Apr 2007. [PDF]
  • Supplemental for "Classifying Video with Kernel Dynamic Textures",
    A.B. Chan and N. Vasconcelos,
    Technical Report SVCL-TR-2007-03,
    Apr 2007. [PDF] (video [link])
  • The EM Algorithm for Layered Dynamic Textures,
    A.B. Chan and N. Vasconcelos,
    Technical Report SVCL-TR-2005-03,
    Jan 2005. [PDF]
  • The EM Algorithm for Mixtures of Dynamic Textures,
    A.B. Chan and N. Vasconcelos,
    Technical Report SVCL-TR-2005-02,
    Jan 2005. (see 2008 TPAMI paper)
  • Efficient Computation of the KL Divergence between Dynamic Textures,
    A.B. Chan and N. Vasconcelos,
    Technical Report SVCL-TR-2004-02,
    Nov 2004. [PDF] (Note: a more efficient algorithm for computing KL is discussed in my thesis)
  • A Family of Probabilistic Kernels Based on Information Divergence,
    A.B. Chan, N. Vasconcelos, and P. J. Moreno,
    Technical Report SVCL-TR-2004-01,
    Jun 2004. [PDF]

Dissertations

  • Beyond Dynamic Textures: a Family of Stochastic Dynamical Models for Video with Applications to Computer Vision,
    A. B. Chan,
    University of California San Diego,
    Ph.D. Thesis, Dec 2008. [PDF] (supplemental webpage [link])

Patents

  • System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans,
    A.P. Reeves, D.F. Yankelevitz, C.I. Henshke, and A.B. Chan,
    US Patents 7,499,578 B2 (2009) and 7,751,607 B2 (2010),
    Jan 2003.

Teaching

  • 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
  • Final Year Projects
  • Research Mentoring Scheme

Awards and Honors

  • 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.