Chan, Antoni B.

65 publications

CVPR 2025 Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging Xianrui Li, Yufei Cui, Jun Li, Antoni B. Chan

CVPR 2025 DistinctAD: Distinctive Audio Description Generation in Contexts Bo Fang, Wenhao Wu, Qiangqiang Wu, Yuxin Song, Antoni B. Chan

NeurIPS 2025 Embodied Crowd Counting Runling Long, Yunlong Wang, Jia Wan, Xiang Deng, Xinting Zhu, Weili Guan, Antoni B. Chan, Liqiang Nie

NeurIPS 2025 PUO-Bench: A Panel Understanding and Operation Benchmark with a Privacy-Preserving Framework Wei Lin, Yiwei Zhou, Junkai Zhang, Rui Shao, Zhiyuan Zhao, Junyu Gao, Antoni B. Chan, Xuelong Li

CVPR 2025 Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting Wei Lin, Chenyang Zhao, Antoni B. Chan

ICLR 2025 Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization Wei Lin, Jia Wan, Antoni B. Chan

AAAI 2025 Re-Attentional Controllable Video Diffusion Editing Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang, Xin Liu, Zhen Cui, Antoni B. Chan

ICCV 2025 Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking Qiangqiang Wu, Yi Yu, Chenqi Kong, Ziquan Liu, Jia Wan, Haoliang Li, Alex C. Kot, Antoni B. Chan

ICCV 2025 Video Individual Counting for Moving Drones Yaowu Fan, Jia Wan, Tao Han, Antoni B. Chan, Andy J. Ma

AAAI 2024 A Fixed-Point Approach to Unified Prompt-Based Counting Wei Lin, Antoni B. Chan

ICML 2024 Gradient-Based Visual Explanation for Transformer-Based CLIP Chenyang Zhao, Kun Wang, Xingyu Zeng, Rui Zhao, Antoni B. Chan

CVPRW 2024 Learning Tracking Representations from Single Point Annotations Qiangqiang Wu, Antoni B. Chan

ECCV 2024 Mahalanobis Distance-Based Multi-View Optimal Transport for Multi-View Crowd Localization Qi Zhang, Kaiyi Zhang, Antoni B. Chan, Hui Huang

AAAI 2024 Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, Hui Huang

ICML 2024 The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan

ECCVW 2024 The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

ICLR 2023 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, Chun Jason Xue, Antoni B. Chan

CVPR 2023 DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan

ICLR 2023 ODAM: Gradient-Based Instance-Specific Visual Explanations for Object Detection Chenyang Zhao, Antoni B. Chan

CVPR 2023 Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting Wei Lin, Antoni B. Chan

TMLR 2023 Pareto Optimization for Active Learning Under Out-of-Distribution Data Scenarios Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan

NeurIPS 2023 Retrieval-Augmented Multiple Instance Learning Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan

ICCV 2023 Scalable Video Object Segmentation with Simplified Framework Qiangqiang Wu, Tianyu Yang, Wei Wu, Antoni B. Chan

CVPR 2023 TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan

ICCVW 2023 The First Visual Object Tracking Segmentation VOTS2023 Challenge Results Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

NeurIPSW 2022 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, Antoni B. Chan

UAI 2022 Asymptotic Optimality for Active Learning Processes Xueying Zhan, Yaowei Wang, Antoni B. Chan

ECCV 2022 Calibration-Free Multi-View Crowd Counting Qi Zhang, Antoni B. Chan

CVPR 2022 Crowd Counting in the Frequency Domain Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan

NeurIPS 2022 Improved Fine-Tuning by Better Leveraging Pre-Training Data Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin

IJCAI 2021 A Comparative Survey: Benchmarking for Pool-Based Active Learning Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan

CVPR 2021 A Generalized Loss Function for Crowd Counting and Localization Jia Wan, Ziquan Liu, Antoni B. Chan

ICCV 2021 BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos

CVPR 2021 Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue

CVPR 2021 Cross-View Cross-Scene Multi-View Crowd Counting Qi Zhang, Wei Lin, Antoni B. Chan

UAI 2021 Hierarchical Learning of Hidden Markov Models with Clustering Regularization Hui Lan, Antoni B. Chan

ICMLW 2021 Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations Ziquan Liu, Yufei Cui, Antoni B. Chan

CVPR 2021 Progressive Unsupervised Learning for Visual Object Tracking Qiangqiang Wu, Jia Wan, Antoni B. Chan

AAAI 2020 3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels Qi Zhang, Antoni B. Chan

ECCV 2020 Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan

IJCAI 2020 Fully Nested Neural Network for Adaptive Compression and Quantization Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue

NeurIPS 2020 Modeling Noisy Annotations for Crowd Counting Jia Wan, Antoni B. Chan

IJCAI 2019 Parametric Manifold Learning of Gaussian Mixture Models Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

ECCV 2018 Learning Dynamic Memory Networks for Object Tracking Tianyu Yang, Antoni B. Chan

ICCVW 2017 Recurrent Filter Learning for Visual Tracking Tianyu Yang, Antoni B. Chan

ICCV 2015 Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation Sijin Li, Weichen Zhang, Antoni B. Chan

CVPR 2015 Small Instance Detection by Integer Programming on Object Density Maps Zheng Ma, Lei Yu, Antoni B. Chan

JMLR 2014 Clustering Hidden Markov Models with Variational HEM Emanuele Coviello, Antoni B. Chan, Gert R.G. Lanckriet

CVPRW 2014 Heterogeneous Multi-Task Learning for Human Pose Estimation with Deep Convolutional Neural Network Sijin Li, Zhi-Qiang Liu, Antoni B. Chan

CVPR 2014 Joint Motion Segmentation and Background Estimation in Dynamic Scenes Adeel Mumtaz, Weichen Zhang, Antoni B. Chan

CVPR 2013 Crossing the Line: Crowd Counting by Integer Programming with Local Features Zheng Ma, Antoni B. Chan

CVPR 2012 Adaptive Figure-Ground Classification Yisong Chen, Antoni B. Chan, Guoping Wang

CVPR 2012 Growing a Bag of Systems Tree for Fast and Accurate Classification Emanuele Coviello, Adeel Mumtaz, Antoni B. Chan, Gert R. G. Lanckriet

NeurIPS 2012 The Variational Hierarchical EM Algorithm for Clustering Hidden Markov Models Emanuele Coviello, Gert R. Lanckriet, Antoni B. Chan

CVPR 2011 Generalized Gaussian Process Models Antoni B. Chan, Daxiang Dong

CVPR 2010 Clustering Dynamic Textures with the Hierarchical EM Algorithm Antoni B. Chan, Emanuele Coviello, Gert R. G. Lanckriet

ICCV 2009 Bayesian Poisson Regression for Crowd Counting Antoni B. Chan, Nuno Vasconcelos

CVPR 2009 Variational Layered Dynamic Textures Antoni B. Chan, Nuno Vasconcelos

CVPR 2008 Privacy Preserving Crowd Monitoring: Counting People Without People Models or Tracking Antoni B. Chan, Zhang-Sheng John Liang, Nuno Vasconcelos

CVPR 2007 Classifying Video with Kernel Dynamic Textures Antoni B. Chan, Nuno Vasconcelos

ICML 2007 Direct Convex Relaxations of Sparse SVM Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet

NeurIPS 2005 Layered Dynamic Textures Antoni B. Chan, Nuno Vasconcelos

ICCV 2005 Mixtures of Dynamic Textures Antoni B. Chan, Nuno Vasconcelos

CVPR 2005 Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes Antoni B. Chan, Nuno Vasconcelos