Congested scene classification via efficient unsupervised feature learning and density estimation. - Yuan Yuan 001; Jia Wan 001; Qi Wang 009 (Pattern Recognit., 2016)

Traffic congestion analysis: A new Perspective. - Jia Wan 001; Yuan Yuan 001; Qi Wang 009 (ICASSP, 2017)

Locality constraint distance metric learning for traffic congestion detection. - Qi Wang 009; Jia Wan 001; Yuan Yuan 001 (Pattern Recognit., 2018)

Deep Metric Learning for Crowdedness Regression. - Qi Wang 009; Jia Wan 001; Yuan Yuan 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Residual Regression With Semantic Prior for Crowd Counting. - Jia Wan 001; Wenhan Luo; Baoyuan Wu; Antoni B. Chan; Wei Liu 005 (CVPR, 2019)

Adaptive Density Map Generation for Crowd Counting. - Jia Wan 001; Antoni B. Chan (ICCV, 2019)

Hierarchical Feature Selection for Random Projection. - Qi Wang 009; Jia Wan 001; Feiping Nie 001; Bo Liu 006; Chenggang Yan 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Robust Hierarchical Deep Learning for Vehicular Management. - Qi Wang 009; Jia Wan 001; Xuelong Li 001 (IEEE Trans. Veh. Technol., 2019)

Modeling Noisy Annotations for Crowd Counting. - Jia Wan 001; Antoni B. Chan (NeurIPS, 2020)

A Generalized Loss Function for Crowd Counting and Localization. - Jia Wan 001; Ziquan Liu; Antoni B. Chan (CVPR, 2021)

Progressive Unsupervised Learning for Visual Object Tracking. - Qiangqiang Wu; Jia Wan 001; Antoni B. Chan (CVPR, 2021)

Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting. - Qiangqiang Wu; Jia Wan 001; Antoni B. Chan (ACM Multimedia, 2021)

The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. - Ziquan Liu; Yufei Cui; Jia Wan 001; Yu Mao 001; Antoni B. Chan (CoRR, 2021)

Fine-Grained Crowd Counting. - Jia Wan 001; Nikil Senthil Kumar; Antoni B. Chan (IEEE Trans. Image Process., 2021)

Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition. - Jia Wan 001; Kaihao Zhang; Hongdong Li; Antoni B. Chan (IEEE Trans. Image Process., 2021)

Crowd Counting in the Frequency Domain. - Weibo Shu; Jia Wan 001; Kay Chen Tan; Sam Kwong; Antoni B. Chan (CVPR, 2022)

Kernel-Based Density Map Generation for Dense Object Counting. - Jia Wan 001; Qingzhong Wang; Antoni B. Chan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

On Diversity in Image Captioning: Metrics and Methods. - Qingzhong Wang; Jia Wan 001; Antoni B. Chan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Weakly-Supervised Scene-Specific Crowd Counting Using Real-Synthetic Hybrid Data. - Yaowu Fan; Jia Wan 001; Yuan Yuan 001; Qi Wang 009 (ICASSP, 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; et al. (ICCV (Workshops), 2023)

Modeling Noisy Annotations for Point-Wise Supervision. - Jia Wan 001; Qiangqiang Wu; Antoni B. Chan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks. - Jiacheng Cheng; Xiang Dai; Jia Wan 001; Nick Antipa; Nuno Vasconcelos (ECCV (70), 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; et al. (ECCV Workshops (7), 2024)

Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM. - Jia Wan 001; Qiangqiang Wu; Wei Lin 018; Antoni B. Chan (ECCV (57), 2024)

Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training. - Qiangqiang Wu; Yan Xia 003; Jia Wan 001; Antoni B. Chan (ECCV (12), 2024)

Robust Unsupervised Crowd Counting and Localization with Adaptive Resolution SAM. - Jia Wan 001; Qiangqiang Wu; Wei Lin 018; Antoni B. Chan (CoRR, 2024)

Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain. - Weibo Shu; Jia Wan 001; Antoni B. Chan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Diffusion-based Data Augmentation for Object Counting Problems. - Zhen Wang; Yuelei Li; Jia Wan 001; Nuno Vasconcelos (ICASSP, 2025)

Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization. - Wei Lin 018; Jia Wan 001; Antoni B. Chan (ICLR, 2025)

Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization. - Yaowu Fan; Jia Wan 001; Andy J. Ma (IEEE Trans. Circuits Syst. Video Technol., 2025)

Embodied Crowd Counting. - Runling Long; Yunlong Wang; Jia Wan 001; Xiang Deng; Xinting Zhu; Weili Guan; Antoni B. Chan; Liqiang Nie (CoRR, 2025)

Video Individual Counting for Moving Drones. - Yaowu Fan; Jia Wan 001; Tao Han; Antoni B. Chan; Andy J. Ma (CoRR, 2025)

Density-based Object Detection in Crowded Scenes. - Chenyang Zhao 011; Jia Wan 001; Antoni B. Chan (CoRR, 2025)

Few-Shot Vision-Language Action-Incremental Policy Learning. - Mingchen Song; Xiang Deng; Guoqiang Zhong 001; Qi Lv 001; Jia Wan 001; Yinchuan Li; Jianye Hao; Weili Guan (CoRR, 2025)

Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking. - Qiangqiang Wu; Yi Yu 011; Chenqi Kong; Ziquan Liu; Jia Wan 001; Haoliang Li; Alex C. Kot; Antoni B. Chan (CoRR, 2025)