| Boosting crowd counting via multifaceted attention H Lin, Z Ma, R Ji, Y Wang, X Hong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 181 | 2022 |
| Learning to count via unbalanced optimal transport Z Ma, X Wei, X Hong, H Lin, Y Qiu, Y Gong Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2319-2327, 2021 | 89 | 2021 |
| Direct Measure Matching for Crowd Counting H Lin, X Hong, Z Ma, X Wei, Y Qiu, Y Wang, Y Gong International Joint Conferences on Artificial Intelligence, 2021 | 46 | 2021 |
| Semi-supervised crowd counting via density agency H Lin, Z Ma, X Hong, Y Wang, Z Su Proceedings of the 30th ACM International Conference on Multimedia, 1416-1426, 2022 | 26 | 2022 |
| Object counting: You only need to look at one H Lin, X Hong, Y Wang arXiv preprint arXiv:2112.05993, 2021 | 17 | 2021 |
| Gramformer: Learning Crowd Counting via Graph-Modulated Transformer H Lin, Z Ma, X Hong, Q Shangguan, D Meng Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3395-3403, 2024 | 11 | 2024 |
| Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling H Lin, Z Ma, R Ji, Y Wang, Z Su, X Hong, D Meng arXiv preprint arXiv:2402.15297, 2024 | 1 | 2024 |
| Multidimensional Measure Matching for Crowd Counting H Lin, X Hong, Z Ma, Y Wang, D Meng IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
Xiaopeng HONG (洪晓鹏)Professor, Harbin Institute of TechnologyEmail verificata su ieee.org