| Circle loss: A unified perspective of pair similarity optimization Y Sun, C Cheng, Y Zhang, C Zhang, L Zheng, Z Wang, Y Wei CVPR 2020, 2020 | 637 | 2020 |
| Towards real-time multi-object tracking Z Wang, L Zheng, Y Liu, Y Li, S Wang ECCV 2020, 2020 | 609 | 2020 |
| Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification Z Wang, L Tang, X Liu, Z Yao, S Yi, J Shao, J Yan, S Wang, H Li, X Wang ICCV 2017, 2017 | 357 | 2017 |
| Linkage based face clustering via graph convolution network Z Wang, L Zheng, Y Li, S Wang CVPR 2019, 2019 | 179 | 2019 |
| CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions Z Wang, J Zhang, L Zheng, Y Liu, Y Sun, Y Li, S Wang ECCV 2020, 2020 | 69 | 2020 |
| Do Different Tracking Tasks Require Different Appearance Models? Z Wang, H Zhao, YL Li, S Wang, PHS Torr, L Bertinetto NeurIPS 2021, 2021 | 38 | 2021 |
| Melon yield prediction using small unmanned aerial vehicles T Zhao, Z Wang, Q Yang, YQ Chen Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2017 | 30 | 2017 |
| Softmax Dissection: Towards Understanding Intra-and Inter-class Objective for Embedding Learning L He, Z Wang, Y Li, S Wang AAAI 2020, 2020 | 28 | 2020 |
| Adaptive affinity for associations in multi-target multi-camera tracking Y Hou, Z Wang, S Wang, L Zheng IEEE Transactions on Image Processing 31, 612-622, 2021 | 21* | 2021 |
| Self-Supervised Learning via Maximum Entropy Coding X Liu, Z Wang, Y Li, S Wang NeurIPS 2022, 2022 | 4 | 2022 |
| How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? Y Liu, Z Wang, T Gedeon, L Zheng ECCV 2022, 2022 | 1 | 2022 |
| Progressive-Granularity Retrieval Via Hierarchical Feature Alignment for Person Re-Identification Z Dou, Z Wang, Y Li, S Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval Z Dou, Z Wang, W Chen, Y Li, S Wang ECCV 2022, 2022 | 1 | 2022 |
| Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking Y Liu, Z Wang, X Zhou, L Zheng arXiv preprint arXiv:2106.16100, 2021 | 1 | 2021 |
| Query adaptive late fusion for image retrieval Z Wang, L Zheng, S Wang arXiv preprint arXiv:1810.13103, 2018 | 1 | 2018 |
| MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation C Ge, J Chen, E Xie, Z Wang, L Hong, H Lu, Z Li, P Luo arXiv preprint arXiv:2304.09801, 2023 | | 2023 |
| A Study of Using Synthetic Data for Effective Association Knowledge Learning Y Liu, Z Wang, X Zhou, L Zheng Machine Intelligence Research 20 (2), 194-206, 2023 | | 2023 |
| Generalizable Re-Identification from Videos with Cycle Association Z Wang, Z Dou, J Zhang, L Zhen, Y Sun, Y Li, S Wang arXiv preprint arXiv:2211.03663, 2022 | | 2022 |
| Node-Adaptive Multi-Graph Fusion Using Extreme Value Theory J Zhang, Z Wang, Y Li, S Wang IEEE Signal Processing Letters 27, 351-355, 2020 | | 2020 |
Liang ZhengAustralian National University在 anu.edu.au 的电子邮件经过验证
