Zekun Tong
Cited by
Cited by
Fine-grained urban flow inference
K Ouyang, Y Liang, Y Liu, Z Tong, S Ruan, D Rosenblum, Y Zheng
IEEE Transactions on Knowledge and Data Engineering, 2020
Directed graph convolutional network
Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim
arXiv preprint arXiv:2004.13970, 2020
Dual-refinement: Joint label and feature refinement for unsupervised domain adaptive person re-identification
Y Dai, J Liu, Y Bai, Z Tong, LY Duan
IEEE Transactions on Image Processing, 2021
Campus3d: A photogrammetry point cloud benchmark for hierarchical understanding of outdoor scene
X Li, C Li, Z Tong, A Lim, J Yuan, Y Wu, J Tang, R Huang
Proceedings of the 28th ACM International Conference on Multimedia, 238-246, 2020
Generalizable person re-identification with relevance-aware mixture of experts
Y Dai, X Li, J Liu, Z Tong, LY Duan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Digraph inception convolutional networks
Z Tong, Y Liang, C Sun, X Li, D Rosenblum, A Lim
Advances in neural information processing systems 33, 2020
PointBA: Towards Backdoor Attacks in 3D Point Cloud
X Li, Z Chen, Y Zhao, Z Tong, Y Zhao, A Lim, JT Zhou
arXiv preprint arXiv:2103.16074, 2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
Y Dai, J Liu, Y Sun, Z Tong, C Zhang, LY Duan
arXiv preprint arXiv:2108.02413, 2021
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene Supplementary Document
X Li, C Li, Z Tong, A Lim, J Yuan, Y Wu, J Tang, R Huang
Modeling Trajectories with Neural Ordinary Differential Equations
Y Liang, K Ouyang, H Yan, Y Wang, Z Tong, R Zimmermann
Supplementary Material for the Paper: Digraph Inception Convolutional Networks
Z Tong, Y Liang, C Sun, X Li, DS Rosenblum, A Lim
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