Antoni B. Chan

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 142

Top Venues

CoRR

CVPR

CogSci

IEEE Trans. Pattern Anal. Mach. Intell.

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, Hui Huang
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting. AAAI (2024)
Qiangqiang Wu, Antoni B. Chan
Learning Tracking Representations from Single Point Annotations. CoRR (2024)
Wei Lin, Antoni B. Chan
A Fixed-Point Approach to Unified Prompt-Based Counting. CoRR (2024)
Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, Hui Huang
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting. CoRR (2024)
Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. CoRR (2024)
Wei Lin, Antoni B. Chan
A Fixed-Point Approach to Unified Prompt-Based Counting. AAAI (2024)
Jia Wan, Qiangqiang Wu, Wei Lin, Antoni B. Chan
Robust Unsupervised Crowd Counting and Localization with Adaptive Resolution SAM. CoRR (2024)
Chenyang Zhao, Janet H. Hsiao, Antoni B. Chan
Gradient-Based Instance-Specific Visual Explanations for Object Specification and Object Discrimination. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Wei Wu, Qingnan Fan, Shuai Qin, Hong Gu, Ruoyu Zhao, Antoni B. Chan
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models. CoRR (2024)
Weibo Shu, Jia Wan, Antoni B. Chan
Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao
Human attention guided explainable artificial intelligence for computer vision models. Neural Networks 177 (2024)
Yanheng Li, Long Bai, Yaxuan Mao, Xuening Peng, Zehao Zhang, Antoni B. Chan, Jixing Li, Xin Tong, Ray LC
Affecting Audience Valence and Arousal in 360 Immersive Environments: How Powerful Neural Style Transfer Is? HCI (23) (2024)
Chenyang Zhao, Antoni B. Chan
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection. ICLR (2023)
Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao
Human Attention-Guided Explainable AI for Object Detection. CogSci (2023)
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
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) (2023)
Jia Wan, Qiangqiang Wu, Antoni B. Chan
Modeling Noisy Annotations for Point-Wise Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yan Xia, Qiangqiang Wu, Wei Li, Antoni B. Chan, Uwe Stilla
A Lightweight and Detector-Free 3D Single Object Tracker on Point Clouds. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images. ICLR (2023)
Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CVPR (2023)
Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. Trans. Mach. Learn. Res. 2023 (2023)
Qiangqiang Wu, Tianyu Yang, Wei Wu, Antoni B. Chan
Scalable Video Object Segmentation with Simplified Framework. ICCV (2023)
Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue (Steve) Liu, Tei-Wei Kuo, Chun Jason Xue
Variational Nested Dropout. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
On Distinctive Image Captioning via Comparing and Reweighting. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Hui Lan, Ziquan Liu, Janet H. Hsiao, Dan Yu, Antoni B. Chan
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CVPR (2023)
Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan
Retrieval-Augmented Multiple Instance Learning. NeurIPS (2023)
Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models. CoRR (2023)
Chenyang Zhao, Antoni B. Chan
ODAM: Gradient-based instance-specific visual explanations for object detection. CoRR (2023)
Qi Zhang, Antoni B. Chan
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CoRR (2023)
Qiangqiang Wu, Tianyu Yang, Wei Wu, Antoni B. Chan
Scalable Video Object Segmentation with Simplified Framework. CoRR (2023)
Wei Lin, Antoni B. Chan
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting. CVPR (2023)
Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CoRR (2023)
Qijian Zhang, Junhui Hou, Yue Qian, Antoni B. Chan, Juyong Zhang, Ying He
RegGeoNet: Learning Regular Representations for Large-Scale 3D Point Clouds. Int. J. Comput. Vis. 130 (12) (2022)
Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan
Crowd Counting in the Frequency Domain. CVPR (2022)
Xueying Zhan, Yaowei Wang, Antoni B. Chan
Asymptotic optimality for active learning processes. UAI (2022)
Ziquan Liu, Antoni B. Chan
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. BMVC (2022)
Qi Zhang, Antoni B. Chan
Calibration-Free Multi-view Crowd Counting. ECCV (9) (2022)
Xueying Zhan, Ze-yu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. CoRR (2022)
Ziquan Liu, Antoni B. Chan
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. CoRR (2022)
Qi Zhang, Wei Lin, Antoni B. Chan
Cross-View Cross-Scene Multi-View Crowd Counting. CoRR (2022)
Qi Zhang, Antoni B. Chan
Wide-Area Crowd Counting: Multi-view Fusion Networks for Counting in Large Scenes. Int. J. Comput. Vis. 130 (8) (2022)
Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan
PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Qingzhong Wang, Jia Wan, Antoni B. Chan
On Diversity in Image Captioning: Metrics and Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
A Comparative Survey of Deep Active Learning. CoRR (2022)
Jia Wan, Qingzhong Wang, Antoni B. Chan
Kernel-Based Density Map Generation for Dense Object Counting. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
On Distinctive Image Captioning via Comparing and Reweighting. CoRR (2022)
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin
Improved Fine-Tuning by Better Leveraging Pre-Training Data. NeurIPS (2022)
Yufei Cui, Shangyu Wu, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue
Bits-Ensemble: Toward Light-Weight Robust Deep Ensemble by Bits-Sharing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, Antoni B. Chan
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting. BMVC (2022)
Yan Xia, Qiangqiang Wu, Tianyu Yang, Wei Li, Antoni B. Chan, Uwe Stilla
A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds. CoRR (2022)
Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue
Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty Over the Simplex. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Qi Zhang, Antoni B. Chan
3D Crowd Counting via Geometric Attention-Guided Multi-view Fusion. Int. J. Comput. Vis. 130 (12) (2022)
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation. CoRR (2022)
Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CoRR (2021)
Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets. IEEE Trans. Image Process. 30 (2021)
Hui Lan, Antoni B. Chan
Hierarchical learning of Hidden Markov Models with clustering regularization. UAI (2021)
Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
Group-based Distinctive Image Captioning with Memory Attention. CoRR (2021)
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. CoRR (2021)
Janet H. Hsiao, Sherry Kit Wa Chan, Antoni B. Chan, Yueyuan Zheng, Kam Man Lau, Hei Lam Michelle Tsang
Eye movement consistency in global-local perceptual processing predicts schizotypy. CogSci (2021)
Jia Wan, Kaihao Zhang, Hongdong Li, Antoni B. Chan
Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition. IEEE Trans. Image Process. 30 (2021)
Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan
The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. CoRR (2021)
Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning. CoRR (2021)
Qiangqiang Wu, Jia Wan, Antoni B. Chan
Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting. ACM Multimedia (2021)
Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
Group-based Distinctive Image Captioning with Memory Attention. ACM Multimedia (2021)
Qi Zhang, Wei Lin, Antoni B. Chan
Cross-View Cross-Scene Multi-View Crowd Counting. CVPR (2021)
Xueying Zhan, Qing Li, Antoni B. Chan
Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes. CoRR (2021)
Qiangqiang Wu, Antoni B. Chan
Meta-Graph Adaptation for Visual Object Tracking. ICME (2021)
Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan
A Comparative Survey: Benchmarking for Pool-based Active Learning. IJCAI (2021)
Jia Wan, Nikil Senthil Kumar, Antoni B. Chan
Fine-Grained Crowd Counting. IEEE Trans. Image Process. 30 (2021)
Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CVPR (2021)
Jia Wan, Ziquan Liu, Antoni B. Chan
A Generalized Loss Function for Crowd Counting and Localization. CVPR (2021)
Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning. ICCV (2021)
Qiangqiang Wu, Jia Wan, Antoni B. Chan
Progressive Unsupervised Learning for Visual Object Tracking. CVPR (2021)
Tianyu Yang, Antoni B. Chan
Visual Tracking via Dynamic Memory Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue
Fully Nested Neural Network for Adaptive Compression and Quantization. IJCAI (2020)
Jia Wan, Antoni B. Chan
Modeling Noisy Annotations for Crowd Counting. NeurIPS (2020)
Jia Wan, Nikil Senthil Kumar, Antoni B. Chan
Fine-Grained Crowd Counting. CoRR (2020)
Qi Zhang, Antoni B. Chan
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes. CoRR (2020)
Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan
ROAM: Recurrently Optimizing Tracking Model. CVPR (2020)
Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets. CoRR (2020)
Qi Zhang, Antoni B. Chan
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels. AAAI (2020)
Di Kang, Debarun Dhar, Antoni B. Chan
Incorporating Side Information by Adaptive Convolution. Int. J. Comput. Vis. 128 (12) (2020)
Qi Zhang, Antoni B. Chan
Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance. CoRR (2020)
Yuzhen Niu, Weifeng Shi, Wenxi Liu, Shengfeng He, Jia Pan, Antoni B. Chan
Over-crowdedness Alert! Forecasting the Future Crowd Distribution. CoRR (2020)
Janet H. Hsiao, Jeehye An, Antoni B. Chan
The role of eye movement consistency in learning to recognise faces: Computational and experimental examinations. CogSci (2020)
Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets. CoRR (2020)
Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou
Neighbours Matter: Image Captioning with Similar Images. BMVC (2020)
Qi Zhang, Antoni B. Chan
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels. CoRR (2020)
Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets. ECCV (1) (2020)
Ziquan Liu, Yufei Cui, Antoni B. Chan
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. CoRR (2020)
Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan
Parametric Manifold Learning of Gaussian Mixture Models. IJCAI (2019)
Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex. CoRR (2019)
Janet H. Hsiao, Kin Yan Chan, Yuefeng Du, Antoni B. Chan
Understanding Individual Differences in Eye Movement Pattern During Scene Perception through Co-Clustering of Hidden Markov Models. CogSci (2019)
Dawei Liu, Ying Cao, Rynson W. H. Lau, Antoni B. Chan
ButtonTips: Design Web Buttons with Suggestions. ICME (2019)
Janet H. Hsiao, Antoni B. Chan
EMHMM: Eye Movement Analysis with Hidden Markov Models and Its Applications in Cognitive Research. CogSci (2019)
Qingzhong Wang, Antoni B. Chan
Describing Like Humans: On Diversity in Image Captioning. CVPR (2019)
Di Kang, Zheng Ma, Antoni B. Chan
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking. IEEE Trans. Circuits Syst. Video Technol. 29 (5) (2019)
Qingzhong Wang, Antoni B. Chan
Describing like humans: on diversity in image captioning. CoRR (2019)
Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan
ROAM: Recurrently Optimizing Tracking Model. CoRR (2019)

Antoni B. Chan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Antoni B. Chan