| Bayesian loss for crowd count estimation with point supervision Z Ma, X Wei, X Hong, Y Gong Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 506 | 2019 |
| Transductive semi-supervised deep learning using min-max features W Shi, Y Gong, C Ding, Z Ma, X Tao, N Zheng Proceedings of the European Conference on Computer Vision (ECCV), 299-315, 2018 | 254 | 2018 |
| 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 | 127 | 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, 2021 | 74 | 2021 |
| Superpixel Masking and Inpainting for Self-Supervised Anomaly Detection Z Li, N Li, K Jiang, Z Ma, X Wei, X Hong, Y Gong 31th British Machine Vision Conference (BMVC), 2020 | 65 | 2020 |
| Towards a universal model for cross-dataset crowd counting Z Ma, X Hong, X Wei, Y Qiu, Y Gong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 42 | 2021 |
| Direct measure matching for crowd counting H Lin, X Hong, Z Ma, X Wei, Y Qiu, Y Wang, Y Gong Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 40 | 2021 |
| Learning scales from points: A scale-aware probabilistic model for crowd counting Z Ma, X Wei, X Hong, Y Gong Proceedings of the 28th ACM International Conference on Multimedia, 220-228, 2020 | 39 | 2020 |
| Transductive semi-supervised metric learning for person re-identification X Chang, Z Ma, X Wei, X Hong, Y Gong Pattern Recognition 108, 107569, 2020 | 33 | 2020 |
| Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting Y He, Z Ma, X Wei, X Hong, W Ke, Y Gong Proceedings of the AAAI Conference on Artificial Intelligence, 2021 | 27 | 2021 |
| Anomaly detection via self-organizing map N Li, K Jiang, Z Ma, X Wei, X Hong, Y Gong 2021 IEEE International Conference on Image Processing (ICIP), 974-978, 2021 | 22 | 2021 |
| Eccnas: Efficient crowd counting neural architecture search Y Wang, Z Ma, X Wei, S Zheng, Y Wang, X Hong ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 20 | 2022 |
| Isolation and impartial aggregation: A paradigm of incremental learning without interference Y Wang, Z Ma, Z Huang, Y Wang, Z Su, X Hong Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10209 …, 2023 | 17 | 2023 |
| 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 | 16 | 2022 |
| Can sam count anything? an empirical study on sam counting Z Ma, X Hong, Q Shangguan arXiv preprint arXiv:2304.10817, 2023 | 12 | 2023 |
| Topology-preserving transfer learning for weakly-supervised anomaly detection and segmentation S Wei, X Wei, MR Kurniawan, Z Ma, Y Gong Pattern Recognition Letters 170, 77-84, 2023 | 4 | 2023 |
| Sparse Parameterization for Epitomic Dataset Distillation X Wei, A Cao, F Yang, Z Ma Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Semi-supervised crowd counting via multiple representation learning X Wei, Y Qiu, Z Ma, X Hong, Y Gong IEEE Transactions on Image Processing, 2023 | 1 | 2023 |
| Remind of the Past: Incremental Learning with Analogical Prompts Z Ma, X Hong, B Liu, Y Wang, P Guo, H Li arXiv preprint arXiv:2303.13898, 2023 | 1 | 2023 |
| Prompt Customization for Continual Learning Y Dai, X Hong, Y Wang, Z Ma, D Jiang, Y Wang arXiv preprint arXiv:2404.18060, 2024 | | 2024 |
Xiaopeng HONG (洪晓鹏)Professor, Harbin Institute of Technology確認したメール アドレス: ieee.org
