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ORCIDAntoni B. Chan
Antoni Bert Chan
Person information
- affiliation: City University of Hong Kong, Department of Computer Science
- affiliation: Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
[j52]Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao
:
Human attention guided explainable artificial intelligence for computer vision models. Neural Networks 177: 106392 (2024)- [j51]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): 2882-2899 (2024) - [j50]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): 5967-5985 (2024) - [c97]Wei Lin, Antoni B. Chan:
A Fixed-Point Approach to Unified Prompt-Based Counting. AAAI 2024: 3468-3476 - [c96]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: 7242-7250 - [c95]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: 224-243 - [c94]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. ICML 2024 - [c93]Chenyang Zhao, Kun Wang, Xingyu Zeng, Rui Zhao, Antoni B. Chan:
Gradient-based Visual Explanation for Transformer-based CLIP. ICML 2024 - [i54]Jia Wan, Qiangqiang Wu, Wei Lin, Antoni B. Chan:
Robust Unsupervised Crowd Counting and Localization with Adaptive Resolution SAM. CoRR abs/2402.17514 (2024) - [i53]Wei Lin, Antoni B. Chan:
A Fixed-Point Approach to Unified Prompt-Based Counting. CoRR abs/2403.10236 (2024) - [i52]Qiangqiang Wu, Antoni B. Chan:
Learning Tracking Representations from Single Point Annotations. CoRR abs/2404.09504 (2024) - [i51]Wei Wu, Qingnan Fan, Shuai Qin, Hong Gu, Ruoyu Zhao, Antoni B. Chan:
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models. CoRR abs/2404.11895 (2024) - [i50]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 abs/2405.08886 (2024) - [i49]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 abs/2405.19943 (2024) - 2023
- [j49]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): 2088-2103 (2023) - [j48]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): 10519-10534 (2023) - [j47]Jia Wan, Qiangqiang Wu, Antoni B. Chan:
Modeling Noisy Annotations for Point-Wise Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15065-15080 (2023) - [j46]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): 5543-5554 (2023) - [j45]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) - [j44]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): 1537-1551 (2023) - [j43]Qi Zhang, Antoni B. Chan:
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10653-10667 (2023) - [c92]Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao:
Human Attention-Guided Explainable AI for Object Detection. CogSci 2023 - [c91]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: 14561-14571 - [c90]Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan:
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CVPR 2023: 16436-16446 - [c89]Wei Lin, Antoni B. Chan:
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting. CVPR 2023: 21663-21673 - [c88]Qiangqiang Wu, Tianyu Yang, Wei Wu, Antoni B. Chan:
Scalable Video Object Segmentation with Simplified Framework. ICCV 2023: 13833-13843 - [c87]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: 1788-1810 - [c86]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 - [c85]Chenyang Zhao, Antoni B. Chan:
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection. ICLR 2023 - [c84]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 - [i48]Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan:
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CoRR abs/2303.11135 (2023) - [i47]Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan:
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CoRR abs/2304.00571 (2023) - [i46]Chenyang Zhao, Antoni B. Chan:
ODAM: Gradient-based instance-specific visual explanations for object detection. CoRR abs/2304.06354 (2023) - [i45]Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao:
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models. CoRR abs/2305.03601 (2023) - [i44]Qiangqiang Wu, Tianyu Yang, Wei Wu, Antoni B. Chan:
Scalable Video Object Segmentation with Simplified Framework. CoRR abs/2308.09903 (2023) - 2022
- [j42]Qi Zhang, Antoni B. Chan:
Wide-Area Crowd Counting: Multi-view Fusion Networks for Counting in Large Scenes. Int. J. Comput. Vis. 130(8): 1938-1960 (2022) - [j41]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): 3100-3122 (2022) - [j40]Qi Zhang, Antoni B. Chan:
3D Crowd Counting via Geometric Attention-Guided Multi-view Fusion. Int. J. Comput. Vis. 130(12): 3123-3139 (2022) - [j39]Qingzhong Wang, Jia Wan, Antoni B. Chan:
On Diversity in Image Captioning: Metrics and Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1035-1049 (2022) - [j38]Jia Wan, Qingzhong Wang, Antoni B. Chan:
Kernel-Based Density Map Generation for Dense Object Counting. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1357-1370 (2022) - [j37]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): 3197-3211 (2022) - [j36]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): 4397-4408 (2022) - [j35]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): 1492-1506 (2022) - [c83]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: 313 - [c82]Ziquan Liu, Antoni B. Chan:
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. BMVC 2022: 367 - [c81]Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan:
Crowd Counting in the Frequency Domain. CVPR 2022: 19586-19595 - [c80]Qi Zhang, Antoni B. Chan:
Calibration-Free Multi-view Crowd Counting. ECCV (9) 2022: 227-244 - [c79]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 - [c78]Xueying Zhan, Yaowei Wang, Antoni B. Chan:
Asymptotic optimality for active learning processes. UAI 2022: 2342-2352 - [i43]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 abs/2203.04232 (2022) - [i42]Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
A Comparative Survey of Deep Active Learning. CoRR abs/2203.13450 (2022) - [i41]Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
On Distinctive Image Captioning via Comparing and Reweighting. CoRR abs/2204.03938 (2022) - [i40]Qi Zhang, Wei Lin, Antoni B. Chan:
Cross-View Cross-Scene Multi-View Crowd Counting. CoRR abs/2205.01551 (2022) - [i39]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 abs/2205.12753 (2022) - [i38]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. CoRR abs/2207.01190 (2022) - [i37]Ziquan Liu, Antoni B. Chan:
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. CoRR abs/2210.05118 (2022) - 2021
- [j34]Tianyu Yang, Antoni B. Chan:
Visual Tracking via Dynamic Memory Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 360-374 (2021) - [j33]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: 1439-1452 (2021) - [j32]Jia Wan, Nikil Senthil Kumar, Antoni B. Chan:
Fine-Grained Crowd Counting. IEEE Trans. Image Process. 30: 2114-2126 (2021) - [j31]Jia Wan, Kaihao Zhang, Hongdong Li, Antoni B. Chan:
Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition. IEEE Trans. Image Process. 30: 5085-5095 (2021) - [c77]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 - [c76]Qi Zhang, Wei Lin, Antoni B. Chan:
Cross-View Cross-Scene Multi-View Crowd Counting. CVPR 2021: 557-567 - [c75]Jia Wan, Ziquan Liu, Antoni B. Chan:
A Generalized Loss Function for Crowd Counting and Localization. CVPR 2021: 1974-1983 - [c74]Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CVPR 2021: 2392-2401 - [c73]Qiangqiang Wu, Jia Wan, Antoni B. Chan:
Progressive Unsupervised Learning for Visual Object Tracking. CVPR 2021: 2993-3002 - [c72]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: 5381-5391 - [c71]Qiangqiang Wu, Antoni B. Chan:
Meta-Graph Adaptation for Visual Object Tracking. ICME 2021: 1-6 - [c70]Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan:
A Comparative Survey: Benchmarking for Pool-based Active Learning. IJCAI 2021: 4679-4686 - [c69]Qiangqiang Wu, Jia Wan, Antoni B. Chan:
Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting. ACM Multimedia 2021: 658-666 - [c68]Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
Group-based Distinctive Image Captioning with Memory Attention. ACM Multimedia 2021: 5020-5028 - [c67]Hao Zhang, Qi Zhang, Phuong Anh Nguyen, Victor C. S. Lee, Antoni Bert Chan:
Chinese White Dolphin Detection in the Wild. MMAsia 2021: 44:1-44:5 - [c66]Hui Lan, Antoni B. Chan:
Hierarchical learning of Hidden Markov Models with clustering regularization. UAI 2021: 1628-1638 - [d1]Hui Lan, Ziquan Liu, Janet H. Hsiao, Dan Yu, Antoni B. Chan:
Clustering Hidden Markov Models with Variational Bayesian Hierarchical EM. Zenodo, 2021
- [i36]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 abs/2101.11353 (2021) - [i35]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 abs/2102.03497 (2021) - [i34]Xueying Zhan, Qing Li, Antoni B. Chan:
Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes. CoRR abs/2107.01622 (2021) - [i33]Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
Group-based Distinctive Image Captioning with Memory Attention. CoRR abs/2108.09151 (2021) - [i32]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 abs/2110.04931 (2021) - [i31]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 abs/2111.12292 (2021) - 2020
- [j30]Di Kang, Debarun Dhar, Antoni B. Chan:
Incorporating Side Information by Adaptive Convolution. Int. J. Comput. Vis. 128(12): 2897-2918 (2020) - [c65]Qi Zhang, Antoni B. Chan:
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels. AAAI 2020: 12837-12844 - [c64]Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou:
Neighbours Matter: Image Captioning with Similar Images. BMVC 2020 - [c63]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 - [c62]Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan:
ROAM: Recurrently Optimizing Tracking Model. CVPR 2020: 6717-6726 - [c61]Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets. ECCV (1) 2020: 370-386 - [c60]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: 2080-2087 - [c59]Jia Wan, Antoni B. Chan:
Modeling Noisy Annotations for Crowd Counting. NeurIPS 2020 - [i30]Qi Zhang, Antoni B. Chan:
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels. CoRR abs/2003.08162 (2020) - [i29]Yuzhen Niu, Weifeng Shi, Wenxi Liu, Shengfeng He, Jia Pan, Antoni B. Chan:
Over-crowdedness Alert! Forecasting the Future Crowd Distribution. CoRR abs/2006.05127 (2020) - [i28]Qi Zhang, Antoni B. Chan:
Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance. CoRR abs/2007.03891 (2020) - [i27]Jia Wan, Nikil Senthil Kumar, Antoni B. Chan:
Fine-Grained Crowd Counting. CoRR abs/2007.06146 (2020) - [i26]Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets. CoRR abs/2007.06877 (2020) - [i25]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 abs/2007.09509 (2020) - [i24]Ziquan Liu, Yufei Cui, Antoni B. Chan:
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. CoRR abs/2008.02965 (2020) - [i23]Xueying Zhan, Antoni Bert Chan:
ALdataset: a benchmark for pool-based active learning. CoRR abs/2010.08161 (2020) - [i22]Qi Zhang, Antoni B. Chan:
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes. CoRR abs/2012.00946 (2020)
2010 – 2019
- 2019
- [j29]Sergio R. Cruz, Antoni B. Chan:
Is that my hand? An egocentric dataset for hand disambiguation. Image Vis. Comput. 89: 131-143 (2019) - [j28]Lei Yu, Tianyu Yang, Antoni B. Chan:
Density-Preserving Hierarchical EM Algorithm: Simplifying Gaussian Mixture Models for Approximate Inference. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1323-1337 (2019) - [j27]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): 1408-1422 (2019) - [c58]Janet H. Hsiao, Antoni B. Chan:
EMHMM: Eye Movement Analysis with Hidden Markov Models and Its Applications in Cognitive Research. CogSci 2019: 17-18 - [c57]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: 3283 - [c56]Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, Wei Liu:
Residual Regression With Semantic Prior for Crowd Counting. CVPR 2019: 4036-4045 - [c55]Qingzhong Wang, Antoni B. Chan:
Describing Like Humans: On Diversity in Image Captioning. CVPR 2019: 4195-4203 - [c54]Qi Zhang, Antoni B. Chan:
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs. CVPR 2019: 8297-8306 - [c53]Jia Wan, Antoni B. Chan:
Adaptive Density Map Generation for Crowd Counting. ICCV 2019: 1130-1139 - [c52]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, Zhen-Hua 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:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c51]