Publications

2024

  1. Robust Zero-Shot Crowd Counting and Localization with Adaptive Resolution SAM.
    Jia Wan, Qiangqiang Wu, Wei Lin, and Antoni B. Chan,
    In: European Conference on Computer Vision (ECCV), Milano, Oct 2024.
  2. A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks.
    Feiyu Chen, Wei Lin, Ziquan Liu, and Antoni B. Chan,
    In: European Conference on Computer Vision (ECCV), Milano, Oct 2024.
  3. Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training.
    Qiangqiang Wu, Yan Xia, Jia Wan, and Antoni B. Chan,
    In: European Conference on Computer Vision (ECCV), Milano, Oct 2024.
  4. Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization.
    Qi Zhang, Kaiyi Zhang, Antoni B. Chan, and Hui Huang,
    In: European Conference on Computer Vision (ECCV), Milano, Oct 2024. [Project&Code]
  5. FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models.
    Wei Wu, Qingnan Fan, Shuai Qin, Hong Gu, Ruoyu Zhao, and Antoni B. Chan,
    In: European Conference on Computer Vision (ECCV), Milano, Oct 2024.
  6. Human attention guided explainable artificial intelligence for computer vision models.
    Guoyang Liu, Jindi Zhang, Antoni B. Chan, and Janet H. Hsiao,
    Neural Networks, 177:106392, Sep 2024.
  7. Edit Temporal-Consistent Videos with Image Diffusion Model.
    Yuanzhi Wang, Yong Li, Xiaoya Zhang, Xin Liu, Anbo Dai, Antoni B. Chan, and Zhen Cui,
    ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), to appear 2024.
  8. Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention.
    Jiuniu Wang, Wenjia Xu, Qingzhong Wang, and Antoni B. Chan,
    International Journal of Computer Vision (IJCV), to appear 2024.
  9. Gradient-based Visual Explanation for Transformer-based CLIP.
    Chenyang Zhao, Kun Wang, Xingyu Zeng, Rui Zhao, and Antoni B. Chan,
    In: International Conference on Machine Learning (ICML), Vienna, Jul 2024.
  10. The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks.
    Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, and Antoni B. Chan,
    In: International Conference on Machine Learning (ICML), Vienna, Jul 2024.
  11. Is Holistic Processing Associated with Face Scanning Pattern and Performance in Face Recognition? Evidence from Deep Neural Network with Hidden Markov Modeling.
    Wei Xing, Yueyuan Zheng, Antoni B. Chan, and Janet H. Hsiao,
    In: Annual Conference of the Cognitive Science Society (CogSci), Rotterdam, Jul 2024.
  12. Eye Movement Behavior during Mind Wandering across Different Tasks in Interactive Online Learning.
    Xiaoru Teng, Hui Lan, Gloria HY Wong, Antoni B. Chan, and Janet H. Hsiao,
    In: Annual Conference of the Cognitive Science Society (CogSci), Rotterdam, Jul 2024.
  13. Do large language models resolve semantic ambiguities in the same way as humans? The case of word segmentation in Chinese sentence reading.
    Weiyan Liao, Zixuan Wang, Kathy Shum, Antoni B. Chan, and Janet H. Hsiao,
    In: Annual Conference of the Cognitive Science Society (CogSci), Rotterdam, Jul 2024.
  14. Demystify Deep-learning AI for Object Detection using Human Attention Data.
    Jinhan Zhang, Guoyang Liu, Yunke Chen, Antoni B. Chan, and Janet H. Hsiao,
    In: Annual Conference of the Cognitive Science Society (CogSci), Rotterdam, Jul 2024.
  15. Affecting Audience Valence and Arousal in 360 Immersive Environments: How Powerful Neural Style Transfer Is?
    Yanheng Li, Long Bai, Yaxuan Mao, Xuening Peng, Zehao Zhang, Jixing Li, Antoni B. Chan, Xin Tong, and RAY LC,
    In: HCI International 2024 Conference (HCII2024) - Virtual, Augmented, and Mixed Reality, Washington DC, Jun 2024.
  16. Understanding and Fighting Scams: Media, Language, Appeals and Effects.
    Shuhua Zhou, Xiao Fan Liu, Fiona Fui-Hoon Nah, Simon Harrison, Xinzhi Zhang, Shanshan Zhen, Dannii Yeung, Janet H. Hsiao, Ray LC, Antoni B. Chan, Xiaohui Wang, Crystal Jiang, Fen Lin, Jixing Li, Andus Wong, Leanne Chan, Bert George, and Ping Li,
    In: HCI International 2024 Conference (HCII2024) - Late Breaking Papers, Washington DC, Jun 2024.
  17. Learning Tracking Representations from Single Point Annotations.
    Qiangqiang Wu and Antoni B. Chan,
    In: CVPR Workshop on Learning With Limited Labelled Data for Image and Video Understanding (L3D-IVU), Jun 2024.
  18. Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNs.
    Jin Li, Qirong Zhang, Wenxi Liu, Antoni B. Chan, and Yang-Geng Fu,
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), to appear (online May 2024).
  19. Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain.
    Weibo Shu, Jia Wan, and Antoni B. Chan,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 46(5):2882-2899, May 2024 (online Nov 2023). [supplemental]
  20. Gradient-based Instance-Specific Visual Explanations for Object Specification and Object Discrimination.
    Chenyang Zhao, Janet H. Hsiao, and Antoni B. Chan,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), to appear 2024.
  21. A Fixed-Point Approach to Unified Prompt-Based Counting.
    Wei Lin and Antoni B. Chan,
    In: AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Feb 2024. [supplemental | code]
  22. Multi-view People Detection in Large Scenes via Supervised View-wise Contribution Weighting.
    Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, and Hui Huang,
    In: AAAI Conference on Artificial Intelligence (AAAI), Feb 2024. [Project&Code]

2023

  1. Retrieval-Augmented Multiple Instance Learning.
    Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue Liu, Tei-Wei Kuo, Miguel RD Rodrigues, Chun Jason Xue, and Antoni B. Chan,
    In: Neural Information Processing Systems (NeurIPS), New Orleans, Dec 2023.
  2. Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance.
    Qi Zhang and Antoni B. Chan,
    IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 34(12):10653-10667, Dec 2023. [code&dataset]
  3. Towards the next generation explainable AI that promotes AI-human mutual understanding.
    Janet H. Hsiao and Antoni B. Chan,
    In: NeurIPS workshop on XAI in Action: Past, Present, and Future Applications, New Orleans, Dec 2023.
  4. Modeling Noisy Annotations for Point-Wise Supervision.
    Jia Wan, Qiangqiang Wu, and Antoni B. Chan,
    IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 45(12):15065-15080, Dec 2023 (online Jul 2023).
  5. Scalable Video Object Segmentation with Simplified Framework.
    Qiangqiang Wu, Tianyu Yang, Wei Wu, and Antoni B. Chan,
    In: International Conf. Computer Vision (ICCV), Paris, Oct 2023. [code]
  6. Variational Nested Dropout.
    Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue Liu, Tei-Wei Kuo, and Xue Chun,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 45(8):10519-10534, Aug 2023 (online Feb 2023).
  7. Human Attention-Guided Explainable AI for Object Detection.
    Guoyang Liu, Jindi Zhang, Antoni B. Chan, and Janet H. Hsiao,
    In: Annual Conference of the Cognitive Science Society, July 2023. [arXiv]
  8. Use of online therapy session data to develop behavioural markers for cognitive outcomes in non-pharmacological intervention.
    Yong Li, Antoni B. Chan, Janet H. Hsiao, Jacky CP Choy, Maggie Ma, and Gloria HY Wong,
    In: Alzheimer's Association International Conference (AAIC), Amsterdam, July 2023.
  9. TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization.
    Ziquan Liu, Yi Xu, Xiangyang Ji, and Antoni B. Chan,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023.
  10. Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting.
    Wei Lin and Antoni B. Chan,
    In: IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Jun 2023 (highlight). [code]
  11. DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks.
    Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, and Antoni B. Chan,
    In: IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Jun 2023. [code]
  12. Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios.
    Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, and Antoni B. Chan,
    Transactions on Machine Learning Research (TMLR), June 2023.
  13. ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection.
    Chenyang Zhao and Antoni B. Chan,
    In: Intl. Conf. on Learning Representations (ICLR), Rwanda, May 2023. [code]
  14. Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images.
    Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Jason Xue Chun, and Antoni B. Chan,
    In: Intl. Conf. on Learning Representations (ICLR), Rwanda, May 2023.
  15. A Lightweight and Detector-Free 3D Single Object Tracker on Point Clouds.
    Yan Xia, Qiangqiang Wu, Wei Li, Antoni B. Chan, and Uwe Stilla,
    IEEE Trans. on Intelligent Transportation Systems, 24(5):5543-5554, May 2023.
  16. Visual attention to own- vs. other-race faces: Perspectives from learning mechanisms and task demands.
    Janet H. Hsiao and Antoni B. Chan,
    British Journal of Psychology, 114(S1):17-20, May 2023.
  17. Jobs-housing balance and travel patterns among different occupations as revealed by Hidden Markov mixture models: the case of Hong Kong.
    Feiyang Zhang, Becky P.Y. Loo, Hui Lan, Antoni B. Chan, and Janet H. Hsiao,
    Transportation, April 2023.
  18. A Comparative Survey of Deep Active Learning.
    Xueying Zhan, Qingzhong Wang, Kuan-hao Huang, Haoyi Xiong, Dejing Dou, and Antoni B. Chan,
    arXiv:2203.13450, Mar 2023.
  19. Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM.
    Hui Lan, Ziquan Liu, Janet H. Hsiao, Dan Yu, and Antoni B. Chan,
    IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 34(3):1537-1551, March 2023 (online 2021).
  20. On Distinctive Image Captioning via Comparing and Reweighting.
    Jiuniu Wang, Wenjia Xu, Qingzhong Wang, and Antoni B. Chan,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 45(2):2088-2103, Feb 2023 (online 2022).
  21. On Becoming Socially Anxious: Toddlers’ Attention Bias to Fearful Faces.
    Lamei Wang, Janet H. Hsiao, Antoni B. Chan, Jasmine Cheung, San Hung, and Terry Kit-fong Au,
    Developmental Psychology, 59(2):353-363, Feb 2023.
  22. Optimal planning of municipal-scale distributed rooftop photovoltaic systems with maximized solar energy generation under constraints in high-density cities.
    Haoshan Ren, Zhenjun Ma, Antoni B. Chan, and Yongjun Sun,
    Energy, 263(Part A):125686, Jan 2023.

2022

  1. 3D Crowd Counting via Geometric Attention-guided Multi-View Fusion.
    Qi Zhang and Antoni B. Chan,
    International Journal of Computer Vision (IJCV), 130:3123-3139, Dec 2022.
  2. RegGeoNet: Learning Regular Representations for Large-Scale 3D Point Clouds.
    Qijian Zhang, Junhui Hou, Yue Qian, Antoni B. Chan, Juyong Zhang, and Ying He,
    International Journal of Computer Vision (IJCV), 130:3100-3122, Dec 2022.
  3. Improved Fine-Tuning by Better Leveraging Pre-Training Data.
    Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, and Rong Jin,
    In: Neural Information Processing Systems (NeurIPS), Nov 2022.
  4. An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation.
    Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, and Antoni B. Chan,
    In: NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications (DistShift), Nov 2022.
  5. Precise Augmentation and Counting of Helicobacter Pylori in Histology Image.
    Yufei Cui, Yixin Chen, Zhifeng Shuai, Fang Peng, Yanbo Lv, Luoning Zheng, Xue Liu, Antoni B. Chan, Tei-Wei Kuo, and Chun Jason Xue,
    In: NeurIPS 2022 Workshop on Medical Imaging meets NeurIPS (MedNeurIPS), Nov 2022.
  6. Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization.
    Ziquan Liu and Antoni B. Chan,
    In: British Machine Vision Conference, Nov 2022.
  7. Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting.
    Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, and Antoni B. Chan,
    In: British Machine Vision Conference, Nov 2022.
  8. Bits-Ensemble: Towards Light-Weight Robust Deep Ensemble by Bits-Sharing.
    Yufei Cui, Shangyu Wu, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, and Jason Xue Chun,
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 41(11):4397-4408, Nov 2022 (CASES 2022).
  9. Understanding the role of eye movement consistency in face recognition and autism through integrating deep neural networks and hidden Markov models.
    Janet H. Hsiao, Jeehye An, Veronica Kit Sum Hui, Yueyuan Zheng, and Antoni B. Chan,
    npj Science of Learning, 7:28, Oct 2022.
  10. Calibration-free Multi-view Crowd Counting.
    Qi Zhang and Antoni B. Chan,
    In: European Conference on Computer Vision (ECCV), Tel Aviv, Oct 2022. [supplemental]
  11. Understanding children's attention to traumatic dental injuries using eye-tracking.
    Vanessa Y. Cho, Janet H. Hsiao, Antoni B. Chan, Hien C. Ngo, Nigel M. King, and Robert P. Anthonappa,
    Dental Traumatology, 38(5):410-416, Oct 2022.
  12. Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes.
    Qi Zhang and Antoni B. Chan,
    International Journal of Computer Vision (IJCV), 130(8):1938-1960, Aug 2022.
  13. Asymptotic Optimality for Active Learning Processes.
    Xueying Zhan, Yaowei Wang, and Antoni B. Chan,
    In: Uncertainty in Artificial Intelligence (UAI), Aug 2022. [supplemental]
  14. PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models.
    Ziquan Liu, Lei Yu, Janet H. Hsiao, and Antoni B. Chan,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 44(6):3197-3211, June 2022 (online 2021). [code]
  15. Crowd Counting in the Frequency Domain.
    Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, and Antoni B. Chan,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
  16. Understanding children’s attention to dental caries through eye-tracking.
    Vanessa Y. Cho, Janet H. Hsiao, Antoni B. Chan, Hien C. Ngo, Nigel M. King, and Robert P. Anthonappa,
    Caries Research, 56(2):129-137, June 2022.
  17. Eye movement analysis of children's attention for midline diastema.
    Vanessa Y. Cho, Janet H. Hsiao, Antoni B. Chan, Hien C. Ngo, Nigel M. King, and Robert P. Anthonappa,
    Scientific Reports, 12:7462, May 2022.
  18. Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty over the Simplex.
    Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, and Chun Xue,
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 33(4):1492-1506, Apr 2022 (online 2020).
  19. System and Method for Optimizing A User Interface and A System and Method for Manipulating A User's Interaction with An Interface.
    Ying Cao, Xufang Pang, Antoni B. Chan, and Rynson WH Lau,
    US Patent US11275596B2, March 2022.
  20. Kernel-based Density Map Generation for Dense Object Counting.
    Jia Wan, Qingzhong Wang, and Antoni B. Chan,
    IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 44(3):1357-1370, Mar 2022.
  21. On Diversity in Image Captioning: Metrics and Methods.
    Qingzhong Wang, Jia Wan, and Antoni B. Chan,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 44(2):1035-1049, Feb 2022.
  22. The effects of attentional and interpretation biases on later pain outcomes among younger and older adults: A prospective study.
    Frederick H.F. Chan, Hin Suen, Antoni B. Chan, Janet H. Hsiao, and Tom J. Barry,
    European Journal of Pain, 26(1):181-196, Jan 2022.

2021

  1. Chinese White Dolphin Detection in the Wild.
    Hao Zhang, Qi Zhang, Phuong Anh Nguyen, Victor Lee, and Antoni B. Chan,
    In: ACM Multimedia Asia (MMAsia), Gold Coast, Australia, Dec 2021.
  2. Understanding the collinear masking effect in visual search through eye tracking.
    Janet H. Hsiao, Antoni B. Chan, Jeehye An, Su-Ling Yeh, and Jingling Li,
    Psychonomic Bulliten & Review, 28(6):1933-1943, Dec 2021.
  3. Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting.
    Qiangqiang Wu, Jia Wan, and Antoni B. Chan,
    In: ACM Multimedia (MM), Oct 2021.
  4. Group-based Distinctive Image Captioning with Memory Attention.
    Jiuniu Wang, Wenjia Xu, Qingzhong Wang, and Antoni B. Chan,
    In: ACM Multimedia (MM), Oct 2021 (oral). [supplemental]
  5. BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning.
    Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, and Nuno Vasconcelos,
    In: Intl. Conference on Computer Vision (ICCV), Oct 2021.
  6. A Comparative Survey: Benchmarking for Pool-based Active Learning.
    Xueying Zhan, Huan Liu, Qing Li, and Antoni B. Chan,
    In: International Joint Conf. on Artificial Intelligence (IJCAI), Survey Track, Aug 2021.
  7. Hierarchical Learning of Hidden Markov Models with Clustering Regularization.
    Hui Lan and Antoni B. Chan,
    In: 37th Conference on Uncertainty in Artificial Intelligence (UAI), Jul 2021.
  8. Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes.
    Xueying Zhan, Qing Li, and Antoni B. Chan,
    In: Subset Selection in Machine Learning: From Theory to Applications, ICML Workshop, July 2021.
  9. Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations.
    Ziquan Liu, Yufei Cui, and Antoni B. Chan,
    In: ICML workshop on Adversarial Machine Learning, July 2021.
  10. Meta-Graph Adaptation for Visual Object Tracking.
    Qiangqiang Wu and Antoni B. Chan,
    In: IEEE International Conference on Multimedia and Expo (ICME), Jul 2021 (oral).
  11. System and Method for Counting Objects.
    Antoni B. Chan and Qi Zhang,
    US Patent US11048948B2, June 2021.
  12. A Generalized Loss Function for Crowd Counting and Localization.
    Jia Wan, Ziquan Liu, and Antoni B. Chan,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2021. [supplemental]
  13. Cross-View Cross-Scene Multi-View Crowd Counting.
    Qi Zhang, Wei Lin, and Antoni B. Chan,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR):557-567, Jun 2021. [supplemental | dataset]
  14. Progressive Unsupervised Learning for Visual Object Tracking.
    Qiangqiang Wu, Jia Wan, and Antoni B. Chan,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2021 (oral). [supplemental]
  15. Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression.
    Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, and Chun Jason Xue,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2021.
  16. Do portrait artists have enhanced face processing abilities? Evidence from hidden Markov modeling of eye movements.
    Janet H. Hsiao, Jeehye An, Yueyuan Zheng, and Antoni B. Chan,
    Cognition, 211(104616), June 2021.
  17. Hand disambiguation using attention neural networks in the egocentric perspective.
    Sergio R. Cruz and Antoni B. Chan,
    In: International Conference on Digital Image Processing (ICDIP), May 2021.
  18. Eye Movement analysis with Hidden Markov Models (EMHMM) with co-clustering.
    Janet H. Hsiao, Hui Lan, Yueyuan Zheng, and Antoni B. Chan,
    Behavior Research Methods, 53:2473-2486, April 2021.
  19. Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition.
    Jia Wan, Kaihao Zhang, Hongdong Li, and Antoni B. Chan,
    IEEE Trans. on Image Processing (TIP), 30:5085-5095, Apr 2021.
  20. Applying the Hidden Markov Model to Analyze Urban Mobility Patterns: An Interdisciplinary Approach.
    Becky P.Y. Loo, Feiyang Zhang, Janet H. Hsiao, Antoni B. Chan, and Hui Lan,
    Chinese Geographical Science, 31(1):1-13, Feb 2021.
  21. Fine-Grained Crowd Counting.
    Jia Wan, Nikil S. Kumar, and Antoni B. Chan,
    IEEE Trans. on Image Processing (TIP), 30:2114-2126, Jan 2021. [code | data]
  22. Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets.
    Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, and Antoni B. Chan,
    IEEE Trans. on Image Processing (TIP), 30:1439-1452, 2021.
  23. Visual Tracking via Dynamic Memory Networks.
    Tianyu Yang and Antoni B. Chan,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 43(1):360-374, Jan 2021. [code]

2020

  1. Modeling Noisy Annotations for Crowd Counting.
    Jia Wan and Antoni B. Chan,
    In: Neural Information Processing Systems (NeurIPS), Dec 2020. [supplemental]
  2. Understanding visual attention to face emotions in social anxiety using hidden Markov models.
    Frederick H.F. Chan, Tom J. Barry, Antoni B. Chan, and Janet H. Hsiao,
    Cognition and Emotion, 34(8):1704-1710, Dec 2020.
  3. The interrelation between interpretation biases, threat expectancies and pain-related attentional processing.
    Frederick H.F. Chan, Todd Jackson, Janet H. Hsiao, Antoni B. Chan, and Tom J. Barry,
    European Journal of Pain, 24(10):1956-1967, Nov 2020.
  4. ALdataset: a benchmark for pool-based active learning.
    Xueying Zhan and Antoni B. Chan,
    arXiv:2010.08161, Oct 2020.
  5. Neighbours Matter: Image Captioning with Similar Images.
    Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, and Dejing Dou,
    In: British Machine Vision Conference (BMVC), Sep 2020.
  6. Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets.
    Jiuniu Wang, Wenjia Xu, Qingzhong Wang, and Antoni B. Chan,
    In: European Conference on Computer Vision (ECCV), Aug 2020 (oral).
  7. Interpretation biases and visual attention in the processing of ambiguous information in chronic pain.
    Frederick H.F. Chan, Hin Suen, Janet H. Hsiao, Antoni B. Chan, and Tom J. Barry,
    European Journal of Pain, 24(7):1242-1256, Aug 2020.
  8. Fully Nested Neural Network for Adaptive Compression and Quantization.
    Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-wei Kuo, and Jason Xue Chun,
    In: International Joint Conf. on Artificial Intelligence (IJCAI), Yokohama, July 2020. [supplemental]
  9. Incorporating Side Information by Adaptive Convolution.
    Di Kang, Debarun Dhar, and Antoni B. Chan,
    International Journal of Computer Vision (IJCV), 128:2897-2918, July 2020.
  10. The role of eye movement consistency in learning to recognise faces: Computational and experimental examinations.
    Janet H. Hsiao, Jeehye An, and Antoni B. Chan,
    In: 42nd Annual Conference of the Cognitive Science Society (CogSci), Jul 2020.
  11. ROAM: Recurrently Optimizing Tracking Model.
    Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, and Antoni B. Chan,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Jun 2020. [code]
  12. Over-crowdedness Alert: Forecasting the Future Crowd Distribution.
    Yuzhen Niu, Weifeng Shi, Wenxi Liu, Shengfeng He, Jia Pan, and Antoni B. Chan,
    arXiv:2006.05127, June 2020.
  13. Eye movement analysis with switching hidden Markov models.
    Tim Chuk, Antoni B. Chan, Shinsuke Shimojo, and Janet H. Hsiao,
    Behavior Research Methods, 52:1026-1043, June 2020. [appendix]
  14. 3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels.
    Qi Zhang and Antoni B. Chan,
    In: AAAI Conference on Artificial Intelligence, AAAI, New York, Feb 2020. [supplemental]

2019

  1. Is that my hand? An egocentric dataset for hand disambiguation.
    Sergio R. Cruz and Antoni B. Chan,
    Image and Vision Computing, 89:131-143, Sept 2019. [dataset]
  2. Adaptive Density Map Generation for Crowd Counting.
    Jia Wan and Antoni B. Chan,
    In: Intl. Conf. on Computer Vision (ICCV), Seoul, Oct 2019.
  3. Hand Detection using Zoomed Neural Networks.
    Sergio R. Cruz and Antoni B. Chan,
    In: Intl. Conf. on Image Analysis and Processing (ICIAP), Trento, Sep 2019.
  4. Parametric Manifold Learning of Gaussian Mixture Models.
    Ziquan Liu, Lei Yu, Janet H. Hsiao, and Antoni B. Chan,
    In: International Joint Conference on Artificial Intelligence (IJCAI), Macau, Aug 2019.
  5. Understanding Individual Differences in Eye Movement Pattern During Scene Perception through Co-Clustering of Hidden Markov Models.
    Janet H. Hsiao, Kin Yan Chan, Yue Feng Du, and Antoni B. Chan,
    In: The Annual Meeting of the Cognitive Science Society (CogSci), Montreal, Jul 2019.
  6. ButtonTips: Designing Web Buttons with Suggestions.
    Dawei Liu, Ying Cao, Rynson W.H. Lau, and Antoni B. Chan,
    In: IEEE International Conference on Multimedia and Expo (ICME), Shanghai, Jul 2019.
  7. Describing like Humans: on Diversity in Image Captioning.
    Qingzhong Wang and Antoni B. Chan,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Long Beach, June 2019. [code]
  8. Residual Regression with Semantic Prior for Crowd Counting.
    Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, and Wei Liu,
    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Long Beach, June 2019. [code]
  9. Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs.
    Qi Zhang and Antoni B. Chan,
    In: IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, June 2019. [dataset&code]
  10. 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), 41(6):1323-1337, June 2019.
  11. 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), 29(5):1408-1422, May 2019.
  12. Hidden Markov modelling of eye movements in social anxiety: a data-driven machine-learning approach to eye-tracking research in psychopathology.
    Frederick H.F. Chan, Tom Barry, Antoni B. Chan, and Janet H. Hsiao,
    In: 2019 Anxiety & Depression Conference, Chicago, March 2019.
  13. Individuals with Insomnia Misrecognize Angry Faces as Fearful Faces While Missing the Eyes: An Eye-Tracking Study.
    Jinxiao Zhang, Antoni B. Chan, Esther Y.Y. Lau, and Janet H. Hsiao,
    SLEEP, 42(2), zsy220, Feb 2019.
  14. A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation.
    Sahar Yousefi, M. T. Manzuri Shalmani, and Antoni B. Chan,
    arXiv:1901.03968, Jan 2019.

2018

  1. 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, 25(6):2200-2207, Dec 2018.
  2. Hand detection using deformable part models on an egocentric perspective.
    Sergio Cruz and Antoni B. Chan,
    In: Digital Image Computing: Techniques and Applications (DICTA), Canberra, Dec 2018.
  3. Gated Hierarchical Attention for Image Captioning.
    Qingzhong Wang and Antoni B. Chan,
    In: Asian Conference on Computer Vision (ACCV), Perth, Dec 2018. [code]
  4. EMHMM Simulation Study.
    Antoni B. Chan and Janet H. Hsiao,
    arXiv:1810.07435, Oct 2018.
  5. Learning Dynamic Memory Networks for Object Tracking.
    Tianyu Yang and Antoni B. Chan,
    In: European Conference on Computer Vision (ECCV), Munich, Sept 2018. [code]
  6. Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid.
    Di Kang and Antoni B. Chan,
    In: British Machine Vision Conference (BMVC), Newcastle, Sept 2018. [supplemental]
  7. 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.
  8. 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.
  9. 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. [code]
  10. 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.
  11. 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.

2017

  1. Incorporating Side Information by Adaptive Convolution.
    Di Kang, Debarun Dhar, and Antoni B. Chan,
    In: Neural Information Processing Systems, Long Beach, Dec 2017. [supplemental]
  2. 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.
  3. 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.
  4. 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]
  5. 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]
  6. Insomniacs Misidentify Angry Faces as Fearful Faces Because of Missing the Eyes: an Eye-Tracking Study.
    Jinxiao Zhang, Antoni B. Chan, Esther E.Y. Lau, and Janet H. Hsiao,
    In: The Annual Meeting of the Cognitive Science Society (CogSci), London, July 2017.
  7. Video Desnowing and Deraining Based on Matrix Decomposition.
    Weihong Ren, Jiandong Tian, Zhi Han, Antoni B. Chan, and Yandong Tang,
    In: IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Honolulu, Jul 2017.
  8. 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]
  9. Learning word embeddings via context grouping.
    Yun Ma, Qing Li, Zhenguo Yang, Wenyin Liu, and Antoni B. Chan,
    In: ACM Turing 50th Celebration Conference - China, Shanghai, May 2017.
  10. 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.
  11. 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.
  12. 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. Information Distribution within Musical Segments.
    Antoni B. Chan and Janet H. Hsiao,
    Music Perception: An Interdisciplinary Journal, 34:218-242, Dec 2016.
  4. 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]
  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. Beyond Dynamic Textures: a Family of Stochastic Dynamical Models for Video with Applications to Computer Vision.
    Antoni B. Chan,
    Ph.D. Thesis, University of California San Diego, Dec 2008. [supplemental]
  2. 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.
  3. 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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