| Learning from synthetic data for crowd counting in the wild Q Wang, J Gao, W Lin, Y Yuan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 591 | 2019 |
| NWPU-crowd: A large-scale benchmark for crowd counting and localization Q Wang, J Gao, W Lin, X Li IEEE transactions on pattern analysis and machine intelligence 43 (6), 2141-2149, 2020 | 375 | 2020 |
| Pixel-wise crowd understanding via synthetic data Q Wang, J Gao, W Lin, Y Yuan International Journal of Computer Vision 129 (1), 225-245, 2021 | 109 | 2021 |
| Cross-view cross-scene multi-view crowd counting Q Zhang, W Lin, AB Chan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 53 | 2021 |
| Learning to detect anomaly events in crowd scenes from synthetic data W Lin, J Gao, Q Wang, X Li Neurocomputing 436, 248-259, 2021 | 36 | 2021 |
| Density-aware curriculum learning for crowd counting Q Wang, W Lin, J Gao, X Li IEEE Transactions on Cybernetics 52 (6), 4675-4687, 2020 | 24 | 2020 |
| Optimal transport minimization: Crowd localization on density maps for semi-supervised counting W Lin, AB Chan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting W Lin, K Yang, X Ma, J Gao, L Liu, S Liu, J Hou, S Yi, AB Chan BMVC, 313, 2022 | 10 | 2022 |
| Pixel-level self-paced learning for super-resolution W Lin, J Gao, Q Wang, X Li ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| A Fixed-Point Approach to Unified Prompt-Based Counting W Lin, AB Chan Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3468-3476, 2024 | | 2024 |
| Robust Unsupervised Crowd Counting and Localization with Adaptive Resolution SAM J Wan, Q Wu, W Lin, AB Chan arXiv preprint arXiv:2402.17514, 2024 | | 2024 |
Junyu GaoNorthwestern Polytechnical UniversityVerified email at mail.nwpu.edu.cn
