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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) - [c100]Wei Lin, Antoni B. Chan:
A Fixed-Point Approach to Unified Prompt-Based Counting. AAAI 2024: 3468-3476 - [c99]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 - [c98]Qiangqiang Wu, Antoni B. Chan:
Learning Tracking Representations from Single Point Annotations. CVPR Workshops 2024: 2606-2615 - [c97]Qi Zhang, Kaiyi Zhang, Antoni B. Chan, Hui Huang:
Mahalanobis Distance-Based Multi-view Optimal Transport for Multi-view Crowd Localization. ECCV (4) 2024: 19-36 - [c96]Jia Wan, Qiangqiang Wu, Wei Lin, Antoni B. Chan:
Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM. ECCV (57) 2024: 478-495 - [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 - [i55]Jia Wan, Qiangqiang Wu, Wei Lin, Antoni B. Chan:
Robust Unsupervised Crowd Counting and Localization with Adaptive Resolution SAM. CoRR abs/2402.17514 (2024) - [i54]Wei Lin, Antoni B. Chan:
A Fixed-Point Approach to Unified Prompt-Based Counting. CoRR abs/2403.10236 (2024) - [i53]Qiangqiang Wu, Antoni B. Chan:
Learning Tracking Representations from Single Point Annotations. CoRR abs/2404.09504 (2024) - [i52]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) - [i51]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) - [i50]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) - [i49]Qi Zhang, Kaiyi Zhang, Antoni B. Chan, Hui Huang:
Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization. CoRR abs/2409.01726 (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]Sergio R. Cruz, Antoni B. Chan:
Hand Detection Using Zoomed Neural Networks. ICIAP (2) 2019: 114-124 - [c50]Dawei Liu, Ying Cao, Rynson W. H. Lau, Antoni B. Chan:
ButtonTips: Design Web Buttons with Suggestions. ICME 2019: 466-471 - [c49]Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan:
Parametric Manifold Learning of Gaussian Mixture Models. IJCAI 2019: 3073-3079 - [i21]Sahar Yousefi, Mohammad T. Manzuri Shalmani, Antoni B. Chan:
A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation. CoRR abs/1901.03968 (2019) - [i20]Qingzhong Wang, Antoni B. Chan:
Describing like humans: on diversity in image captioning. CoRR abs/1903.12020 (2019) - [i19]Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex. CoRR abs/1905.12194 (2019) - [i18]Tianyu Yang, Antoni B. Chan:
Visual Tracking via Dynamic Memory Networks. CoRR abs/1907.07613 (2019) - [i17]Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan:
ROAM: Recurrently Optimizing Tracking Model. CoRR abs/1907.12006 (2019) - [i16]Qingzhong Wang, Antoni B. Chan:
Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process. CoRR abs/1908.04919 (2019) - 2018
- [j26]Huy Q. Phan, Hongbo Fu, Antoni B. Chan:
Color Orchestra: Ordering Color Palettes for Interpolation and Prediction. IEEE Trans. Vis. Comput. Graph. 24(6): 1942-1955 (2018) - [c48]Qingzhong Wang, Antoni B. Chan:
Gated Hierarchical Attention for Image Captioning. ACCV (4) 2018: 21-37 - [c47]Di Kang, Antoni B. Chan:
Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid. BMVC 2018: 89 - [c46]Zhijie Cheng, William G. Hayward, Antoni B. Chan, Janet H. Hsiao:
Optimal face recognition performance involves a balance between global and local information processing: Evidence from cultural difference. CogSci 2018 - [c45]Weihong Ren, Di Kang, Yandong Tang, Antoni B. Chan:
Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes. CVPR 2018: 5353-5362 - [c44]Sergio R. Cruz, Antoni B. Chan:
Hand Detection using Deformable Part Models on an Egocentric Perspective. DICTA 2018: 1-7 - [c43]Tianyu Yang, Antoni B. Chan:
Learning Dynamic Memory Networks for Object Tracking. ECCV (9) 2018: 153-169 - [i15]Tianyu Yang, Antoni B. Chan:
Learning Dynamic Memory Networks for Object Tracking. CoRR abs/1803.07268 (2018) - [i14]Di Kang, Antoni B. Chan:
Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid. CoRR abs/1805.06115 (2018) - [i13]Qingzhong Wang, Antoni B. Chan:
CNN+CNN: Convolutional Decoders for Image Captioning. CoRR abs/1805.09019 (2018) - [i12]Antoni B. Chan, Janet H. Hsiao:
EMHMM Simulation Study. CoRR abs/1810.07435 (2018) - [i11]Qingzhong Wang, Antoni B. Chan:
Gated Hierarchical Attention for Image Captioning. CoRR abs/1810.12535 (2018) - 2017
- [j25]Yisong Chen, Antoni B. Chan, Zhouchen Lin, Kenji Suzuki, Guoping Wang:
Efficient tree-structured SfM by RANSAC generalized Procrustes analysis. Comput. Vis. Image Underst. 157: 179-189 (2017) - [j24]Sijin Li, Weichen Zhang, Antoni B. Chan:
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation. Int. J. Comput. Vis. 122(1): 149-168 (2017) - [j23]Weichen Zhang, Zhiguang Liu, Liuyang Zhou, Howard Leung, Antoni B. Chan:
Martial Arts, Dancing and Sports dataset: A challenging stereo and multi-view dataset for 3D human pose estimation. Image Vis. Comput. 61: 22-39 (2017) - [j22]Ying Cao, Xufang Pang, Antoni B. Chan, Rynson W. H. Lau:
Dynamic Manga: Animating Still Manga via Camera Movement. IEEE Trans. Multim. 19(1): 160-172 (2017) - [c42]Yun Ma, Qing Li, Zhenguo Yang, Wenyin Liu, Antoni B. Chan:
Learning word embeddings via context grouping. ACM TUR-C 2017: 24:1-24:10 - [c41]Jinxiao Zhang, Antoni B. Chan, Esther Y. Y. Lau, Janet H. Hsiao:
Insomniacs Misidentify Angry Faces as Fearful Faces Because of Missing the Eyes: an Eye-Tracking Study. CogSci 2017 - [c40]Weihong Ren, Jiandong Tian, Zhi Han, Antoni B. Chan, Yandong Tang:
Video Desnowing and Deraining Based on Matrix Decomposition. CVPR 2017: 2838-2847 - [c39]Tianyu Yang, Antoni B. Chan:
Recurrent Filter Learning for Visual Tracking. ICCV Workshops 2017: 2010-2019 - [c38]Di Kang, Debarun Dhar, Antoni B. Chan:
Incorporating Side Information by Adaptive Convolution. NIPS 2017: 3867-3877 - [c37]Ying Cao, Antoni B. Chan, Rynson W. H. Lau:
Mining probabilistic color palettes for summarizing color use in artwork collections. SIGGRAPH Asia Symposium on Visualization 2017: 1:1-1:8 - [i10]Huy Q. Phan, Hongbo Fu, Antoni B. Chan:
Color Orchestra: Ordering Color Palettes for Interpolation and Prediction. CoRR abs/1703.06003 (2017) - [i9]Di Kang, Zheng Ma, Antoni B. Chan:
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking. CoRR abs/1705.10118 (2017) - [i8]Tianyu Yang, Antoni B. Chan:
Recurrent Filter Learning for Visual Tracking. CoRR abs/1708.03874 (2017) - 2016
- [j21]Zheng Ma, Antoni B. Chan:
Counting People Crossing a Line Using Integer Programming and Local Features. IEEE Trans. Circuits Syst. Video Technol. 26(10): 1955-1969 (2016) - [j20]Xufang Pang, Ying Cao, Rynson W. H. Lau, Antoni B. Chan:
Directing user attention via visual flow on web designs. ACM Trans. Graph. 35(6): 240:1-240:11 (2016) - [c36]Stephan Brueggemann, Antoni B. Chan, Janet H. Hsiao:
Hidden Markov Modeling of eye movements with image information leads to better discovery of regions of interest. CogSci 2016 - [c35]Cynthia Y. H. Chan, J. J. Wong, Antoni B. Chan, Tatia M. C. Lee, Janet H. Hsiao:
Analytic Eye Movement Patterns in Face Recognition are Associated with Better Performance and more Top-down Control of Visual Attention: an fMRI Study. CogSci 2016 - [c34]Tim Chuk, Antoni B. Chan, Shinsuke Shimojo, Janet H. Hsiao:
Mind reading: Discovering individual preferences from eye movements using switching hidden Markov models. CogSci 2016 - [c33]Huy Quoc Phan, Jingwan Lu, Paul Asente, Antoni B. Chan, Hongbo Fu:
Patternista: learning element style compatibility and spatial composition for ring-based layout decoration. Expressive 2016: 79-88 - [i7]Di Kang, Debarun Dhar, Antoni B. Chan:
Crowd Counting by Adapting Convolutional Neural Networks with Side Information. CoRR abs/1611.06748 (2016) - 2015
- [j19]Quoc Huy Phan, Hongbo Fu, Antoni B. Chan:
FlexyFont: Learning Transferring Rules for Flexible Typeface Synthesis. Comput. Graph. Forum 34(7): 245-256 (2015) - [j18]Sijin Li, Zhi-Qiang Liu, Antoni B. Chan:
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network. Int. J. Comput. Vis. 113(1): 19-36 (2015) - [j17]Adeel Mumtaz, Emanuele Coviello, Gert R. G. Lanckriet, Antoni B. Chan:
A Scalable and Accurate Descriptor for Dynamic Textures Using Bag of System Trees. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 697-712 (2015) - [j16]Wenxi Liu, Antoni B. Chan, Rynson W. H. Lau, Dinesh Manocha:
Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking. IEEE Trans. Circuits Syst. Video Technol. 25(3): 399-410 (2015) - [j15]Yisong Chen, Antoni B. Chan:
Enhanced Figure-Ground Classification With Background Prior Propagation. IEEE Trans. Image Process. 24(3): 873-885 (2015) - [c32]Cynthia Y. H. Chan, Antoni B. Chan, Tatia M. C. Lee, Janet H. Hsiao:
Eye Movement Pattern in Face Recognition is Associated with Cognitive Decline in the Elderly. CogSci 2015 - [c31]Tim Chuk, Antoni B. Chan, Janet H. Hsiao:
Hidden Markov model analysis reveals better eye movement strategies in face recognition. CogSci 2015 - [c30]Zheng Ma, Lei Yu, Antoni B. Chan:
Small instance detection by integer programming on object density maps. CVPR 2015: 3689-3697 - [c29]Sijin Li, Weichen Zhang, Antoni B. Chan:
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation. ICCV 2015: 2848-2856 - [c28]Yun Ma, Qing Li, Zhenguo Yang, Zheng Lu, Haiwei Pan, Antoni B. Chan:
An SVD-based Multimodal Clustering method for Social Event Detection. ICDE Workshops 2015: 202-209 - [i6]Sijin Li, Weichen Zhang, Antoni B. Chan:
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation. CoRR abs/1508.06708 (2015) - 2014
- [j14]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
Clustering hidden Markov models with variational HEM. J. Mach. Learn. Res. 15(1): 697-747 (2014) - [j13]Weichen Zhang, Lifeng Shang, Antoni B. Chan:
A Robust Likelihood Function for 3D Human Pose Tracking. IEEE Trans. Image Process. 23(12): 5374-5389 (2014) - [j12]Ying Cao, Rynson W. H. Lau, Antoni B. Chan:
Look over here: attention-directing composition of manga elements. ACM Trans. Graph. 33(4): 94:1-94:11 (2014) - [c27]Sijin Li, Antoni B. Chan:
3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network. ACCV (2) 2014: 332-347 - [c26]Quoc Huy Phan, Hongbo Fu, Antoni B. Chan:
Look Closely: Learning Exemplar Patches for Recognizing Textiles from Product Images. ACCV (1) 2014: 461-476 - [c25]Adeel Mumtaz, Weichen Zhang, Antoni B. Chan:
Joint Motion Segmentation and Background Estimation in Dynamic Scenes. CVPR 2014: 368-375 - [c24]Sijin Li, Zhi-Qiang Liu, Antoni B. Chan:
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network. CVPR Workshops 2014: 488-495 - [c23]Xufang Pang, Ying Cao, Rynson W. H. Lau, Antoni B. Chan:
A Robust Panel Extraction Method for Manga. ACM Multimedia 2014: 1125-1128 - [i5]Wenxi Liu, Antoni B. Chan, Rynson W. H. Lau, Dinesh Manocha:
Leveraging Long-Term Predictions and Online-Learning in Agent-based Multiple Person Tracking. CoRR abs/1402.2016 (2014) - [i4]Sijin Li, Zhi-Qiang Liu, Antoni B. Chan:
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network. CoRR abs/1406.3474 (2014) - 2013
- [j11]Adeel Mumtaz, Emanuele Coviello, Gert R. G. Lanckriet, Antoni B. Chan:
Clustering Dynamic Textures with the Hierarchical EM Algorithm for Modeling Video. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1606-1621 (2013) - [j10]Katherine Ellis, Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
A Bag of Systems Representation for Music Auto-Tagging. IEEE ACM Trans. Audio Speech Lang. Process. 21(12): 2554-2569 (2013) - [c22]Tim Chuk, Alvin C. W. Ng, Emanuele Coviello, Antoni B. Chan, Janet H. Hsiao:
Understanding eye movements in face recognition with hidden Markov model. CogSci 2013 - [c21]Zheng Ma, Antoni B. Chan:
Crossing the Line: Crowd Counting by Integer Programming with Local Features. CVPR 2013: 2539-2546 - [c20]Andreas Eckhardt, Christian Maier, JJ Po-An Hsieh, Tim Chuk, Antoni B. Chan, Janet H. Hsiao, Ricardo Buettner:
Objective measures of IS usage behavior under conditions of experience and pressure using eye fixation data. ICIS 2013 - [c19]Emanuele Coviello, Adeel Mumtaz, Antoni B. Chan, Gert R. G. Lanckriet:
That was fast! Speeding up NN search of high dimensional distributions. ICML (3) 2013: 468-476 - [p1]Antoni B. Chan, Nuno Vasconcelos:
Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties. Modeling, Simulation and Visual Analysis of Crowds 2013: 295-324 - [i3]Lifeng Shang, Antoni B. Chan:
On Approximate Inference for Generalized Gaussian Process Models. CoRR abs/1311.6371 (2013) - 2012
- [j9]Antoni B. Chan, Nuno Vasconcelos:
Counting People With Low-Level Features and Bayesian Regression. IEEE Trans. Image Process. 21(4): 2160-2177 (2012) - [j8]Ying Cao, Antoni B. Chan, Rynson W. H. Lau:
Automatic stylistic manga layout. ACM Trans. Graph. 31(6): 141:1-141:10 (2012) - [c18]Yisong Chen, Antoni B. Chan, Guoping Wang:
Adaptive figure-ground classification. CVPR 2012: 654-661 - [c17]Emanuele Coviello, Adeel Mumtaz, Antoni B. Chan, Gert R. G. Lanckriet:
Growing a bag of systems tree for fast and accurate classification. CVPR 2012: 1979-1986 - [c16]Emanuele Coviello, Yonatan Vaizman, Antoni B. Chan, Gert R. G. Lanckriet:
Multivariate Autoregressive Mixture Models for Music Auto-Tagging. ISMIR 2012: 547-552 - [c15]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
The variational hierarchical EM algorithm for clustering hidden Markov models. NIPS 2012: 413-421 - [i2]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
Clustering hidden Markov models with variational HEM. CoRR abs/1210.6707 (2012) - 2011
- [j7]Antoni B. Chan, Vijay Mahadevan, Nuno Vasconcelos:
Generalized Stauffer-Grimson background subtraction for dynamic scenes. Mach. Vis. Appl. 22(5): 751-766 (2011) - [j6]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
Time Series Models for Semantic Music Annotation. IEEE Trans. Speech Audio Process. 19(5): 1343-1359 (2011) - [c14]Antoni B. Chan, Daxiang Dong:
Generalized Gaussian process models. CVPR 2011: 2681-2688 - [c13]Tom L. H. Li, Antoni B. Chan:
Genre Classification and the Invariance of MFCC Features to Key and Tempo. MMM (1) 2011: 317-327 - [i1]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models. CoRR abs/1109.1032 (2011) - 2010
- [j5]Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet:
Modeling Music as a Dynamic Texture. IEEE Trans. Speech Audio Process. 18(3): 602-612 (2010) - [c12]Antoni B. Chan, Emanuele Coviello, Gert R. G. Lanckriet:
Clustering dynamic textures with the hierarchical EM algorithm. CVPR 2010: 2022-2029 - [c11]Emanuele Coviello, Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet:
Automatic Music Tagging With Time Series Models. ISMIR 2010: 81-86
2000 – 2009
- 2009
- [j4]Antoni B. Chan, Nuno Vasconcelos:
Layered Dynamic Textures. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1862-1879 (2009) - [c10]Antoni B. Chan, Nuno Vasconcelos:
Variational layered dynamic textures. CVPR 2009: 1062-1069 - [c9]Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet:
Dynamic texture models of music. ICASSP 2009: 1589-1592 - [c8]Antoni B. Chan, Nuno Vasconcelos:
Bayesian Poisson regression for crowd counting. ICCV 2009: 545-551 - 2008
- [b1]Antoni B. Chan:
Beyond dynamic textures : a family of stochastic dynamical models for video with applications to computer vision. University of California, San Diego, USA, 2008 - [j3]Antoni B. Chan, Nuno Vasconcelos:
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 909-926 (2008) - [c7]Antoni B. Chan, Zhang-Sheng John Liang, Nuno Vasconcelos:
Privacy preserving crowd monitoring: Counting people without people models or tracking. CVPR 2008 - 2007
- [j2]Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos:
Supervised Learning of Semantic Classes for Image Annotation and Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 394-410 (2007) - [c6]Antoni B. Chan, Nuno Vasconcelos:
Classifying Video with Kernel Dynamic Textures. CVPR 2007 - [c5]Luke Barrington, Antoni B. Chan, Douglas Turnbull, Gert R. G. Lanckriet:
Audio Information Retrieval using Semantic Similarity. ICASSP (2) 2007: 725-728 - [c4]Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet:
Direct convex relaxations of sparse SVM. ICML 2007: 145-153 - 2006
- [j1]Anthony P. Reeves, Antoni B. Chan, David F. Yankelevitz, Claudia I. Henschke, Bryan Kressler, William J. Kostis:
On measuring the change in size of pulmonary nodules. IEEE Trans. Medical Imaging 25(4): 435-450 (2006) - 2005
- [c3]Antoni B. Chan, Nuno Vasconcelos:
Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes. CVPR (1) 2005: 846-851 - [c2]Antoni B. Chan, Nuno Vasconcelos:
Mixtures of Dynamic Textures. ICCV 2005: 641-647 - [c1]Antoni B. Chan, Nuno Vasconcelos:
Layered Dynamic Textures. NIPS 2005: 203-210
Coauthor Index
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