| A generalized loss function for crowd counting and localization J Wan, Z Liu, AB Chan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 218 | 2021 |
| Adaptive density map generation for crowd counting J Wan, A Chan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 184 | 2019 |
| Locality constraint distance metric learning for traffic congestion detection Q Wang, J Wan, Y Yuan Pattern Recognition 75, 272-281, 2018 | 146 | 2018 |
| Kernel-based density map generation for dense object counting J Wan, Q Wang, AB Chan IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1357-1370, 2020 | 129 | 2020 |
| Residual regression with semantic prior for crowd counting J Wan, W Luo, B Wu, AB Chan, W Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 126 | 2019 |
| Modeling noisy annotations for crowd counting J Wan, A Chan Advances in Neural Information Processing Systems 33, 3386-3396, 2020 | 114 | 2020 |
| Deep metric learning for crowdedness regression Q Wang, J Wan, Y Yuan IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2633 …, 2017 | 112 | 2017 |
| Hierarchical feature selection for random projection Q Wang, J Wan, F Nie, B Liu, C Yan, X Li IEEE transactions on neural networks and learning systems 30 (5), 1581-1586, 2018 | 93 | 2018 |
| Crowd counting in the frequency domain W Shu, J Wan, KC Tan, S Kwong, AB Chan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 82 | 2022 |
| Congested scene classification via efficient unsupervised feature learning and density estimation Y Yuan, J Wan, Q Wang Pattern Recognition 56, 159-169, 2016 | 65 | 2016 |
| Robust Hierarchical Deep Learning for Vehicular Management Q Wang, J Wan, X LI IEEE Transactions on Vehicular Technology, 2018 | 57 | 2018 |
| Progressive unsupervised learning for visual object tracking Q Wu, J Wan, AB Chan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 48 | 2021 |
| On diversity in image captioning: Metrics and methods Q Wang, J Wan, AB Chan IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2), 1035-1049, 2020 | 45 | 2020 |
| Fine-grained crowd counting J Wan, NS Kumar, AB Chan IEEE Transactions on Image Processing, 2020 | 33 | 2020 |
| Traffic congestion analysis: A new Perspective J Wan, Y Yuan, Q Wang 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 30 | 2017 |
| Dynamic momentum adaptation for zero-shot cross-domain crowd counting Q Wu, J Wan, AB Chan Proceedings of the 29th ACM International Conference on Multimedia, 658-666, 2021 | 29 | 2021 |
| The first visual object tracking segmentation vots2023 challenge results M Kristan, J Matas, M Danelljan, M Felsberg, HJ Chang, LČ Zajc, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
| Modeling noisy annotations for point-wise supervision J Wan, Q Wu, AB Chan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 8 | 2023 |
| Angular-driven feedback restoration networks for imperfect sketch recognition J Wan, K Zhang, H Li, AB Chan IEEE Transactions on Image Processing 30, 5085-5095, 2021 | 7 | 2021 |
| TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images J Wan, W Li, JK Adhinarta, A Banerjee, E Sjostedt, J Wu, J Lichtman, ... arXiv preprint arXiv:2401.13961, 2024 | 5 | 2024 |
Antoni B. ChanProfessor of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
