Zhongdao Wang (王重道)
Zhongdao Wang (王重道)
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Cited by
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Towards real-time multi-object tracking
Z Wang, L Zheng, Y Liu, Y Li, S Wang
ECCV 2020, 2020
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
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
Linkage based face clustering via graph convolution network
Z Wang, L Zheng, Y Li, S Wang
CVPR 2019, 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
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
Softmax Dissection: Towards Understanding Intra-and Inter-class Objective for Embedding Learning
L He, Z Wang, Y Li, S Wang
AAAI 2020, 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
Do Different Tracking Tasks Require Different Appearance Models?
Z Wang, H Zhao, YL Li, S Wang, PHS Torr, L Bertinetto
NeurIPS 2021, 2021
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
Query adaptive late fusion for image retrieval
Z Wang, L Zheng, S Wang
arXiv preprint arXiv:1810.13103, 2018
Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset)
Y Liu, Z Wang, T Gedeon, L Zheng
arXiv preprint arXiv:2112.01730, 2021
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
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