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Zhiheng Ma (马智恒)
Zhiheng Ma (马智恒)
Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences
Verified email at siat.ac.cn
Title
Cited by
Cited by
Year
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
4752019
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
2422018
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
1022022
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
632021
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
632020
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
392021
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
362020
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
342021
Transductive semi-supervised metric learning for person re-identification
X Chang, Z Ma, X Wei, X Hong, Y Gong
Pattern Recognition 108, 107569, 2020
322020
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
252021
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
202022
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
202021
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
132022
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
112023
Can sam count anything? an empirical study on sam counting
Z Ma, X Hong, Q Shangguan
arXiv preprint arXiv:2304.10817, 2023
102023
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
12023
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
12023
Sparse Parameterization for Epitomic Dataset Distillation
X Wei, A Cao, F Yang, Z Ma
Advances in Neural Information Processing Systems 36, 2024
2024
Knowledge Synergy Learning for Multi-Modal Tracking
Y He, Z Ma, X Wei, Y Gong
IEEE Transactions on Circuits and Systems for Video Technology, 2024
2024
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
H Lin, Z Ma, X Hong, Q Shangguan, D Meng
arXiv preprint arXiv:2401.03870, 2024
2024
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Articles 1–20