World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
13842
World Ranking
3814
National Ranking
509

Overview

Antoni B. Chan is affiliated with the City University of Hong Kong in China. Their research primarily spans the field of Computer Science, with a notable focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology, and Signal Processing. The concentration of their publications in these subfields reflects a consistent engagement with visual and cognitive computational methods.

The scientist's work covers several specific research topics including Video Surveillance and Tracking Methods, Anomaly Detection Techniques and Applications, Human Pose and Action Recognition, Advanced Neural Network Applications, Visual Attention and Saliency Detection, Advanced Vision and Imaging, and Domain Adaptation and Few-Shot Learning.

Antoni B. Chan has authored numerous papers, with recent publications including:

  • Kernel-Based Density Map Generation for Dense Object Counting, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Crowd Counting in the Frequency Domain, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Incorporating Side Information by Adaptive Convolution, 2020, International Journal of Computer Vision
  • A Comparative Survey of Deep Active Learning, 2022, arXiv (Cornell University)
  • Eye movement analysis with hidden Markov models (EMHMM) with co-clustering, 2021, Behavior Research Methods

The venues where Antoni B. Chan frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

Collaboration has been a significant component of their research activities. Frequent coauthors include Janet H. Hsiao, Jia Wan, Qiangqiang Wu, Qingzhong Wang, and Qi Zhang, each contributing to numerous joint publications.

Best Publications

  • Privacy preserving crowd monitoring: Counting people without people models or tracking

    A.B. Chan;Z.-S.J. Liang;N. Vasconcelos

  • Supervised Learning of Semantic Classes for Image Annotation and Retrieval

    G. Carneiro;A.B. Chan;P.J. Moreno;N. Vasconcelos

  • Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures

    A.B. Chan;N. Vasconcelos

  • 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network

    Sijin Li;Antoni B. Chan

  • Bayesian Poisson regression for crowd counting

    Antoni B. Chan;Nuno Vasconcelos

  • Counting People With Low-Level Features and Bayesian Regression

    A. B. Chan;N. Vasconcelos

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Learning Dynamic Memory Networks for Object Tracking

    Tianyu Yang;Antoni B. Chan

  • On measuring the change in size of pulmonary nodules

    A.P. Reeves;A.B. Chan;D.F. Yankelevitz;C.I. Henschke

  • Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation

    Sijin Li;Weichen Zhang;Antoni B. Chan

  • Probabilistic kernels for the classification of auto-regressive visual processes

    A.B. Chan;N. Vasconcelos

  • Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

    Sijin Li;Zhi-Qiang Liu;Antoni B. Chan

  • Classifying Video with Kernel Dynamic Textures

    A.B. Chan;N. Vasconcelos

  • Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Counting, Detection, and Tracking

    Di Kang;Zheng Ma;Antoni B. Chan

  • Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

    Sijin Li;Zhi-Qiang Liu;Antoni B. Chan

  • A Generalized Loss Function for Crowd Counting and Localization

    Jia Wan;Ziquan Liu;Antoni B. Chan

  • Video Desnowing and Deraining Based on Matrix Decomposition

    Weihong Ren;Jiandong Tian;Zhi Han;Antoni Chan

  • Understanding eye movements in face recognition using hidden Markov models

    Tim Chuk;Antoni B. Chan;Janet H. Hsiao

  • Adaptive Density Map Generation for Crowd Counting

    Jia Wan;Antoni Chan

  • Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets

    Weihong Ren;Xinchao Wang;Jiandong Tian;Yandong Tang

  • Analysis of Crowded Scenes using Holistic Properties

    Antoni Bert Chan;Mulloy Morrow;Nuno Vasconcelos

Frequent Co-Authors

Nuno Vasconcelos
Nuno Vasconcelos University of California, San Diego
Gert R. G. Lanckriet
Gert R. G. Lanckriet University of California, San Diego
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Tatia M.C. Lee
Tatia M.C. Lee University of Hong Kong
Hongbo Fu
Hongbo Fu City University of Hong Kong
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence
Pedro J. Moreno
Pedro J. Moreno Google (United States)
Tei-Wei Kuo
Tei-Wei Kuo National Taiwan University
Shinsuke Shimojo
Shinsuke Shimojo California Institute of Technology
Todd Jackson
Todd Jackson University of Macau

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