Publications

2017

  1. Scanpath modeling and classification with Hidden Markov Models.
    Antoine Coutrot, Janet H. Hsiao, and Antoni B. Chan,
    Behavior Research Methods, to appear.
  2. 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), to appear.
  3. 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, to appear, 2017.
  4. Martial Arts, Dancing and Sports Dataset: a Challenging Stereo and Multi-View Dataset for 3D Human Pose Estimation.
    Weichen Zhang, Zhiguang Liu, Liuyang Zhou, Howard Leung, and Antoni B. Chan,
    Image and Vision Computing, 61:22-39, May 2017. [supplemental]
  5. Efficient tree-structured SfM by RANSAC generalized Procrustes analysis.
    Yisong Chen, Antoni B. Chan, Zhouchen Lin, Kenji Suzuki, and Guoping Wang,
    Computer Vision and Image Understanding (CVIU), 157:179-189, April 2017.
  6. 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.
  7. DynamicManga: Animating Still Manga via Camera Movement.
    Ying Cao, Xufang Pang, Antoni B. Chan, and Rynson W.H. Lau,
    IEEE Trans. on Multimedia (TMM), 19(1):160-172, Jan 2017. [supplemental | video]

2016

  1. Approximate Inference for Generic Likelihoods via Density-Preserving GMM Simplification.
    Lei Yu, Tianyu Yang, and Antoni B. Chan,
    In: NIPS 2016 Workshop on Advances in Approximate Bayesian Inference, Barcelona, Dec 2016.
  2. Directing User Attention via Visual Flow on Web Designs.
    Xufang Pang, Ying Cao, Rynson W.H. Lau, and Antoni B. Chan,
    ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2016), Dec 2016. [supplemental | video]
  3. Counting People Crossing a Line using Integer Programming and Local Features.
    Zheng Ma and Antoni B. Chan,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 26(10):1955-1969, Oct 2016. [appendix]
  4. Information Distribution within Musical Segments.
    Antoni B. Chan and Janet H. Hsiao,
    Music Perception: An Interdisciplinary Journal, 34:218-242, Dec 2016.
  5. Mind reading: Discovering individual preferences from eye movements using switching hidden Markov models.
    Tim Chuk, Antoni B. Chan, Shinsuke (Shin) Shimojo, and Janet H. Hsiao,
    In: The Annual Meeting of the Cognitive Science Society (CogSci), Philadelphia, Aug 2016.
  6. Analytic Eye Movement Patterns in Face Recognition are Associated with Better Performance and more Top-down Control of Visual Attention: an fMRI Study.
    Cynthia Y.H. Chan, J.J. Wong, Antoni B. Chan, Tatia M.C. Lee, and Janet H. Hsiao,
    In: The Annual Meeting of the Cognitive Science Society (CogSci), Philadelphia, Aug 2016.
  7. Hidden Markov Modeling of eye movements with image information lead to better discovery of regions of interest.
    Stephan Brueggemann, Antoni B. Chan, and Janet H. Hsiao,
    In: The Annual Meeting of the Cognitive Science Society (CogSci), Philadelphia, Aug 2016.
  8. Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration.
    Quoc Huy Phan, Paul Asente, Jingwan Lu, Antoni B. Chan, and Hongbo Fu,
    In: Non-Photorealistic Animation and Rendering (Expressive) 2016, Lisbon, May 2016.

2015

  1. Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation.
    Sijin Li, Weichen Zhang, and Antoni B. Chan,
    In: Intl. Conf. on Computer Vision (ICCV):2848-2856, Santiago, Dec 2015. [spotlight video]
  2. FlexyFont: Learning Transferring Rules for Flexible Typeface Synthesis.
    Quoc Huy Phan, Hongbo Fu, and Antoni B. Chan,
    Computer Graphics Forum (Proc. Pacific Graphics 2015), 34(7), Oct 2015. [video]
  3. Hidden Markov model analysis reveals better eye movement strategies in face recognition.
    Tim Chuk, Antoni B. Chan, and Janet H. Hsiao,
    In: The Annual Meeting of the Cognitive Science Society (CogSci):393-398, Pasadena, Jul 2015.
  4. Eye Movement Pattern in Face Recognition is Associated with Cognitive Decline in the Elderly.
    Cynthia Y.H. Chan, Antoni B. Chan, Tatia M.C. Lee, and Janet H. Hsiao,
    In: The Annual Meeting of the Cognitive Science Society (CogSci):321-326, Pasadena, Jul 2015.
  5. Small Instance Detection by Integer Programming on Object Density Maps.
    Zheng Ma, Lei Yu, and Antoni B. Chan,
    In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Boston, Jun 2015. [extended abstract]
  6. Global and Local Priming Evoke Different Face Processing Strategies: Evidence From An Eye Movement Study.
    Zhijie Chen, Tim Chuk, William G. Hayward, Antoni B. Chan, and Janet H. Hsiao,
    In: Annual meeting of the Vision Sciences Society (VSS), St. Pete Beach, Florida, May 2015.
  7. Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network.
    Sijin Li, Zhi-Qiang Liu, and Antoni B. Chan,
    International Journal of Computer Vision (IJCV), 113(1):19-36, May 2015.
  8. An SVD-based Multimodal Clustering Method for Social Event Detection.
    Yun Ma, Qing Li, Zhenguo Yang, Zheng Lu, Haiwei Pan, and Antoni B. Chan,
    In: ICDE 2015 Workshop on Scalable Social Event Processing and Management (SSEPM), Seoul, Korea, Apr 2015.
  9. A Scalable and Accurate Descriptor for Dynamic Textures using Bag of System Trees.
    Adeel Mumtaz, Emanuele Coviello, Gert R.G. Lanckriet, and Antoni B. Chan,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 37(4):697-712, Apr 2015. [appendix]
  10. Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking.
    Wenxi Liu, Antoni B. Chan, Rynson W.H. Lau, and Dinesh Manocha,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 25(3):399-410, Mar 2015.
  11. Enhanced Figure-Ground Classification with Background Prior Propagation.
    Yisong Chen and Antoni B. Chan,
    IEEE Trans. on Image Processing (TIP), 24(3):873-885, Mar 2015.

2014

  1. A Robust Likelihood Function for 3D Human Pose Tracking.
    Weichen Zhang, Lifeng Shang, and Antoni B. Chan,
    IEEE Trans. on Image Processing (TIP), 23(12):5374-5389, Dec 2014.
  2. A Robust Panel Extraction Method for Manga.
    Xufang Pang, Ying Cao, Rynson W.H. Lau, and Antoni B. Chan,
    In: ACM Multimedia, Orlando, Nov 2014. [code]
  3. 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network.
    Sijin Li and Antoni B. Chan,
    In: Asian Conference on Computer Vision (ACCV), Singapore, Nov 2014.
  4. Look Closely: Learning Exemplar Patches for Recognizing Textiles from Product Images.
    Quoc Huy Phan, Hongbo Fu, and Antoni B. Chan,
    In: Asian Conference on Computer Vision (ACCV), Singapore, Nov 2014.
  5. 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.
  6. Look Over Here: Attention-Directing Composition of Manga Elements.
    Ying Cao, Rynson W.H. Lau, and Antoni B. Chan,
    ACM Transactions on Graphics (Proc. SIGGRAPH 2014), Aug 2014. [supplemental | video | slides]
  7. Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network.
    Sijin Li, Zhi-Qiang Liu, and Antoni B. Chan,
    In: IEEE Conf. Computer Vision and Pattern Recognition: DeepVision Workshop, Columbus, Jun 2014.
  8. Joint Motion Segmentation and Background Estimation in Dynamic Scenes.
    Adeel Mumtaz, Weichen Zhang, and Antoni B. Chan,
    In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Columbus, Jun 2014. [spotlight video]
  9. Caucasian and Asian eye movement patterns in face recognition: A computational exploration using hidden Markov models.
    Tim Chuk, A. Xiao Luo, Kate Crookes, William G. Hayward, Antoni B. Chan, and Janet H. Hsiao,
    In: Annual meeting of the Vision Sciences Society (VSS), May 2014.
  10. Understanding eye movements in face recognition with hidden Markov model.
    Janet H. Hsiao, Antoni B. Chan, and Tim Chuk,
    In: 6th Chinese International Conference on Eye Movements (CICEM), Beijing, May 2014 (oral).
  11. 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]

2013

  1. Surveillance of Crowded Environments: Modeling the Crowd by its Global Properties.
    Antoni B. Chan and Nuno Vasconcelos,
    In Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective, Springer, New York, Dec 2013.
  2. Objective Measures of IS Usage Behavior Under Conditions of Experience and Pressure Using Eye Fixation Data.
    Andreas Eckhardt, Christian Maier, JJ Po-An Hsieh, Tim Chuk, Antoni B. Chan, Janet H. Hsiao, and Ricardo Buettner,
    In: International Conference on Information Systems (ICIS), Milan, Dec 2013.
  3. A Bag of Systems Representation for Music Auto-tagging.
    Katherine Ellis, Emanuele Coviello, Antoni B. Chan, and Gert R.G. Lanckriet,
    IEEE Trans. on Audio, Speech and Language Processing (TASLP), 21(12):2554-2569, Dec 2013.
  4. Multivariate generalized Gaussian process models.
    Antoni B. Chan,
    arXiv:1311.0360, Nov 2013.
  5. On approximate inference for generalized Gaussian process models.
    Lifeng Shang and Antoni B. Chan,
    arXiv:1311.6371, Nov 2013.
  6. Understanding eye movements in face recognition with hidden Markov model.
    Tim Chuk, Alvin C.W. Ng, Emanuele Coviello, Antoni B. Chan, and Janet H. Hsiao,
    In: The Annual Meeting of the Cognitive Science Society (CogSci), Berlin, Aug 2013 (oral, Student travel award winner).
  7. 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]
  8. That was fast! Speeding up NN search of high dimensional distributions.
    Emanuele Coviello, Adeel Mumtaz, Antoni B. Chan, and Gert R.G. Lanckriet,
    In: International Conference on Machine Learning (ICML), Atlanta, Jun 2013. [supplemental | code]
  9. Crossing the Line: Crowd Counting by Integer Programming with Local Features.
    Zheng Ma and Antoni B. Chan,
    In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Portland, Jun 2013.

2012

  1. The variational hierarchical EM algorithm for clustering hidden Markov models.
    Emanuele Coviello, Antoni B. Chan, and Gert R.G. Lanckriet,
    In: Neural Information Processing Systems (NIPS), Lake Tahoe, Dec 2012.
  2. Automatic Stylistic Manga Layout.
    Ying Cao, Antoni B. Chan, and Rynson W.H. Lau,
    ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2012), Singapore, Nov 2012. [supplemental | video | slides]
  3. Multivariate autoregressive mixture models for music auto-tagging.
    Emanuele Coviello, Yonatan Vaizman, Antoni B. Chan, and Gert R.G. Lanckriet,
    In: International Society for Music Information Retrieval Conference (ISMIR), Porto, Oct 2012.
  4. Growing a Bag of Systems Tree for Fast and Accurate Classification.
    Emanuele Coviello, Adeel Mumtaz, Antoni B. Chan, and Gert R.G. Lanckriet,
    In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Providence, Jun 2012.
  5. Adaptive Figure-Ground Classification.
    Yisong Chen, Antoni B. Chan, and Guoping Wang,
    In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Providence, Jun 2012.
  6. 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.

2011

  1. Generalized Stauffer-Grimson background subtraction for dynamic scenes.
    Antoni B. Chan, Vijay Mahadevan, and Nuno Vasconcelos,
    Machine Vision and Applications, 22(5):751-766, Sep 2011.
  2. Time Series Models for Semantic Music Annotation.
    Emanuele Coviello, Antoni B. Chan, and Gert R.G. Lanckriet,
    IEEE Trans. on Audio, Speech and Language Processing (TASLP), 19(5):1343-1359, Jul 2011.
  3. Generalized Gaussian Process Models.
    Antoni B. Chan and Daxiang Dong,
    In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Colorado Springs, Jun 2011. [supplemental]
  4. Genre Classification and the Invariance of MFCC Features to Key and Tempo.
    Tom L.H. Li and Antoni B. Chan,
    In: Intl. Conference on MultiMedia Modeling (MMM), Taipei, Jan 2011.

2010

  1. Automatic music tagging with time series models.
    Emanuele Coviello, Luke Barrington, Antoni B. Chan, and Gert R.G. Lanckriet,
    In: International Society for Music Information Retrieval Conference (ISMIR), Utrecht, Aug 2010.
  2. Clustering Dynamic Textures with the Hierarchical EM Algorithm.
    Antoni B. Chan, Emanuele Coviello, and Gert R.G. Lanckriet,
    In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), San Francisco, Jun 2010. [supplemental]
  3. 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.
  4. Automatic Musical Pattern Feature Extraction Using Convolutional Neural Network.
    Tom L.H. Li, Antoni B. Chan, and Andy H.W. Chun,
    In: Intl. MultiConference of Engineers and Computer Scientists (IMECS), Hong Kong, Mar 2010.

2009

  1. Layered dynamic textures.
    Antoni B. Chan and Nuno Vasconcelos,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 31(10):1862-1879, Oct 2009.
  2. Bayesian Poisson Regression for Crowd Counting.
    Antoni B. Chan and Nuno Vasconcelos,
    In: IEEE Intl Conf. on Computer Vision (ICCV), Kyoto, Sep 2009.
  3. Analysis of Crowded Scenes using Holistic Properties.
    Antoni B. Chan, Mulloy Morrow, and Nuno Vasconcelos,
    In: 11th IEEE Intl. Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2009), Miami, Jun 2009.
  4. Variational Layered Dynamic Textures.
    Antoni B. Chan and Nuno Vasconcelos,
    In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Jun 2009.
  5. Derivations for the Layered Dynamic Texture and Temporally-Switching Layered Dynamic Texture.
    Antoni B. Chan and Nuno Vasconcelos,
    Technical Report SVCL-TR-2009-01, Jun 2009.
  6. Dynamic Texture Models of Music.
    Luke Barrington, Antoni B. Chan, and Gert R.G. Lanckriet,
    In: Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Apr 2009.

2008

  1. Privacy Preserving Crowd Monitoring: Counting People without People Models or Tracking.
    Antoni B. Chan, Zhang-Sheng John Liang, and Nuno Vasconcelos,
    In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Jun 2008.
  2. 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.

2007

  1. Direct Convex Relaxations of Sparse SVM.
    Antoni B. Chan, Nuno Vasconcelos, and Gert R.G. Lanckriet,
    In: International Conference on Machine Learning (ICML), Corvallis, Jun 2007. [old version using partial wine dataset]
  2. Classifying Video with Kernel Dynamic Textures.
    Antoni B. Chan and Nuno Vasconcelos,
    In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, Jun 2007.
  3. Duals of the QCQP and SDP Sparse SVM.
    Antoni B. Chan, Nuno Vasconcelos, and Gert R.G. Lanckriet,
    Technical Report SVCL-TR-2007-02, Apr 2007.
  4. Supplemental for "Classifying Video with Kernel Dynamic Textures".
    Antoni B. Chan and Nuno Vasconcelos,
    Technical Report SVCL-TR-2007-03, Apr 2007. [video]
  5. Audio Information Retrieval using Semantic Similarity.
    Luke Barrington, Antoni B. Chan, Douglas Turnbull, and Gert R.G. Lanckriet,
    In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Apr 2007.
  6. 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.

2006

  1. Using Statistics to Search and Annotate Pictures: an Evaluation of Semantic Image Annotation and Retrieval on Large Databases.
    Antoni B. Chan, Pedro J. Moreno, and Nuno Vasconcelos,
    In: Proceedings of the American Statistical Association, Seattle, Aug 2006.
  2. On Measuring the Change in Size of Pulmonary Nodules.
    Anthony P. Reeves, Antoni B. Chan, David F. Yankelevitz, Claudia I. Henschke, Bryan Kressler, and Will J. Kostis,
    IEEE Transactions on Medical Imaging (TMI), 25(4):435-450, Apr 2006.

2005

  1. Layered Dynamic Textures.
    Antoni B. Chan and Nuno Vasconcelos,
    In: Neural Information Processing Systems 18 (NIPS), Vancouver, Dec 2005.
  2. Mixtures of Dynamic Textures.
    Antoni B. Chan and Nuno Vasconcelos,
    In: IEEE International Conference on Computer Vision (ICCV), Beijing, Oct 2005.
  3. Classification and Retrieval of Traffic Video using Auto-regressive Stochastic Processes.
    Antoni B. Chan and Nuno Vasconcelos,
    In: 2005 IEEE Intelligent Vehicles Symposium (IEEEIV), Las Vegas, Jun 2005.
  4. Probabilistic Kernels for the Classification of Auto-regressive Visual Processes.
    Antoni B. Chan and Nuno Vasconcelos,
    In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, Jun 2005. [8-page version]
  5. The EM Algorithm for Mixtures of Dynamic Textures.
    Antoni B. Chan and Nuno Vasconcelos,
    Technical Report SVCL-TR-2005-02, Jan 2005. [see 2008 TPAMI paper]
  6. The EM Algorithm for Layered Dynamic Textures.
    Antoni B. Chan and Nuno Vasconcelos,
    Technical Report SVCL-TR-2005-03, 2005.

2004

  1. Efficient Computation of the KL Divergence between Dynamic Textures.
    Antoni B. Chan and Nuno Vasconcelos,
    Technical Report SVCL-TR-2004-02, Nov 2004. [a more efficient algorithm is discussed in my thesis]
  2. A Family of Probabilistic Kernels Based on Information Divergence.
    Antoni B. Chan, Nuno Vasconcelos, and Pedro J. Moreno,
    Technical Report SVCL-TR-2004-01, Jun 2004.

2003

  1. System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans.
    Anthony P. Reeves, David F. Yankelevitz, Claudia I. Henshke, and Antoni B. Chan,
    US Patents 7,499,578 B2 (2009) and 7,751,607 B2 (2010).

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