Dr. Antoni B. Chan

Dr. Antoni B. Chan
Associate Professor
BSc MEng Cornell, PhD UC San Diego
SrMIEEE

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

Office: Room AC1-G7311, Yeung Kin Man Academic Building (lift 7)
Phone: +852 3442 6509
Fax: +852 3442 0503
Email: abchan at cityu dot edu dot hk

Bio

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. 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, Eye Gaze Analysis

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.
• Opportunities for graduate students and research assistants! If you are interested in joining the lab, please check this information. Outstanding non-HK students may also consider applying for the HK PhD fellowship.

Recent Publications [more]

• Eye Movement Patterns in Face Recognition are Associated with Cognitive Decline in Older Adults.
  Cynthia Y.H. Chan, Antoni B. Chan, Tatia M.C. Lee, and Janet H. Hsiao,
  Psychonomic Bulletin & Review, to appear 2018.
• Density-Preserving Hierarchical EM Algorithm: Simplifying Gaussian Mixture Models for Approximate Inference.
  Lei Yu, Tianyu Yang, and Antoni B. Chan,
  IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), to appear 2018.
• Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking.
  Di Kang, Zheng Ma, and Antoni B. Chan,
  IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), to appear 2018.
• Learning Dynamic Memory Networks for Object Tracking.
  Tianyu Yang and Antoni B. Chan,
  In: European Conference on Computer Vision (ECCV), Munich, to appear 2018.
• Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid.
  Di Kang and Antoni B. Chan,
  In: British Machine Vision Conference (BMVC), Newcastle, to appear 2018.
• Music Reading Expertise Facilitates English but not Chinese sentence reading: Evidence from Eye Movement Behavior.
  Sara T.K. Li, Belinda H.J. Chung, Jeffery C.N. Yip, Antoni B. Chan, and Janet H. Hsiao,
  In: 15th International Conference on Music Perception and Cognition (ICMPC15), Sydney, July 2018.
• Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes.
  Weihong Ren, Di Kang, Yandong Tang, and Antoni B. Chan,
  In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Jun 2018.
• CNN+CNN: Convolutional Decoders for Image Captioning.
  Qingzhong Wang and Antoni B. Chan,
  In: IEEE Computer Vision and Pattern Recognition: Language and Vision Workshop, Salt Lake City, Jun 2018.
• Color Orchestra: Ordering Color Palettes for Interpolation and Prediction.
  Quoc Huy Phan, Hongbo Fu, and Antoni B. Chan,
  IEEE Transactions on Visualization and Computer Graphics (TVCG), 24(6):1942-1955, June 2018.
• Scanpath modeling and classification with Hidden Markov Models.
  Antoine Coutrot, Janet H. Hsiao, and Antoni B. Chan,
  Behavior Research Methods, 50:362-379, Feb 2018.
• Incorporating Side Information by Adaptive Convolution.
  Di Kang, Debarun Dhar, and Antoni B. Chan,
  In: Neural Information Processing Systems, Long Beach, Dec 2017. [supplemental]
• Is having similar eye movement patterns during face learning and recognition beneficial for recognition performance? Evidence from hidden Markov modeling.
  Tim Chuk, Antoni B. Chan, and Janet H. Hsiao,
  Vision Research, 141:204-216, Dec 2017.
• Hidden Markov model analysis reveals the advantage of analytic eye movement patterns in face recognition across cultures.
  Tim Chuk, Kate Crookes, William G. Hayward, Antoni B. Chan, and Janet H. Hsiao,
  Cognition, 169:102-117, Dec 2017.
• Mining Probabilistic Color Palettes for Summarizing Color Use in Artwork Collections.
  Ying Cao, Antoni B. Chan, and Rynson W.H. Lau,
  In: Symposium on Visualization, SIGGRAPH Asia 2017, Bangkok, Nov 2017. [supplemental]
• Recurrent filter learning for visual tracking.
  Tianyu Yang and Antoni B. Chan,
  In: ICCV 5th Visual Object Tracking Challenge Workshop VOT2017, Venice, Oct 2017. [video]

Selected Publications [more]

• Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation.
  Sijin Li, Weichen Zhang, and Antoni B. Chan,
  International Journal of Computer Vision (IJCV), 122(1):149-168, March 2017.
• Understanding eye movements in face recognition using hidden Markov models.
  Tim Chuk, Antoni B. Chan, and Janet H. Hsiao,
  Journal of Vision, 14(11):8, Sep 2014.
• Clustering hidden Markov models with variational HEM.
  Emanuele Coviello, Antoni B. Chan, and Gert R.G. Lanckriet,
  Journal of Machine Learning Research (JMLR), 15(2):697-747, Feb 2014. [code]
• Clustering Dynamic Textures with the Hierarchical EM Algorithm for Modeling Video.
  Adeel Mumtaz, Emanuele Coviello, Gert R.G. Lanckriet, and Antoni B. Chan,
  IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 35(7):1606-1621, Jul 2013. [appendix]
• Counting People with Low-Level Features and Bayesian Regression.
  Antoni B. Chan and Nuno Vasconcelos,
  IEEE Trans. on Image Processing (TIP), 21(4):2170-2177, May 2012.
• Generalized Gaussian Process Models.
  Antoni B. Chan and Daxiang Dong,
  In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Colorado Springs, Jun 2011. [supplemental]
• Layered dynamic textures.
  Antoni B. Chan and Nuno Vasconcelos,
  IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 31(10):1862-1879, Oct 2009.
• Modeling, clustering, and segmenting video with mixtures of dynamic textures.
  Antoni B. Chan and Nuno Vasconcelos,
  IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 30(5):909-926, May 2008.
• Modeling music as a dynamic texture.
  Luke Barrington, Antoni B. Chan, and Gert R.G. Lanckriet,
  IEEE Trans. on Audio, Speech and Language Processing (TASLP), 18(3):602-612, Mar 2010.
• Supervised learning of semantic classes for image annotation and retrieval.
  Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, and Nuno Vasconcelos,
  IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 29(3):394-410, Mar 2007.

Google Scholar
Microsoft Academic Search
orcid.org/0000-0002-2886-2513
Scopus ID: 14015159100

Teaching

• CS 4487 – Machine learning (undergraduate) — 2015A-2018A.
• CS 5487 – Machine learning (postgraduate) — 2012A-2018A.
• GE 2326 – Probability in Action: From the Unfinished Game to the Modern World — 2015B-2017B.
• GE 1319 – Interdisciplinary Research for Smart Professionals — 2013B-2017B.
• CS 5301 – Computer Programming — 2012A-2014A.
• CS 2363 – Computer Programming — 2009A-2011A.
• CS 3306 (B) – Contemporary Programming Methods in Java — 2010B.
• CS 4380 (B) – Web 2.0 Technologies — 2011B, 2012B.
• Final Year Project Coordinator
• Research Mentoring Scheme Coordinator
• MSCS Project and Guided Study Coordinator

Service

• Senior Area Editor, IEEE Signal Processing Letters (2016-)
• Associate Editor, IEEE Signal Processing Letters (2014-2016)
• Conference Area Chair
  • ICCV – 2015, 2017
  • Pacific Graphics – 2018
• Conference Program Committees
  • CVPR – 2012, 2013, 2014, 2015, 2016, 2017, 2018
  • ICCV – 2011, 2013
  • ECCV – 2012, 2014, 2016, 2018
  • ACCV – 2011, 2014, 2016
  • ICML – 2012, 2013, 2014, 2015, 2018
  • NIPS – 2015, 2017, 2018
  • Siggraph (tertiary)- 2018
• Journal Reviewing
  • IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Trans. on Image Processing (TIP)
  • Intl. Journal Computer Vision (IJCV)
  • IEEE Trans. on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Trans. on Neural Networks (TNN)
  • IEEE Trans. on Multimedia
  • IEEE Trans. Intelligent Transportation Systems

Awards and Honors

• The President’s Award, City University of Hong Kong, 2016.
• 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.