Zekun Tong

Orcid: 0000-0003-0587-3807

According to our database1, Zekun Tong authored at least 13 papers between 2020 and 2022.

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Bibliography

2022
Fine-Grained Urban Flow Inference.
IEEE Trans. Knowl. Data Eng., 2022

Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains.
CoRR, 2022

Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification.
IEEE Trans. Image Process., 2021

Directed Graph Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reproducibility Companion Paper: Campus3D: A Photogrammetry Point Cloud Benchmark for Outdoor Scene Hierarchical Understanding.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Modeling Trajectories with Neural Ordinary Differential Equations.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

PointBA: Towards Backdoor Attacks in 3D Point Cloud.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Directed Graph Convolutional Network.
CoRR, 2020

Digraph Inception Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020


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