Zekun Tong

According to our database, Zekun Tong authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Bridging the Source-to-Target Gap for Cross-Domain Person Re-identification with Intermediate Domains.

Yongxing Dai, Yifan Sun, Jun Liu, Zekun Tong, Ling-Yu Duan

Int. J. Comput. Vis., January, 2025

2024

Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach.

Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

CoRR, 2024

Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach.

Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2022

Fine-Grained Urban Flow Inference.

Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum

IEEE Trans. Knowl. Data Eng., 2022

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

Yongxing Dai, Yifan Sun, Jun Liu, Zekun Tong, Yi Yang, Ling-Yu Duan

CoRR, 2022

Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives.

Xinke Li, Henghui Ding, Zekun Tong, Yuwei Wu, Yeow Meng Chee

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.

Yongxing Dai, Jun Liu, Yan Bai, Zekun Tong, Ling-Yu Duan

IEEE Trans. Image Process., 2021

Directed Graph Contrastive Learning.

Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li, Changhu Wang

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.

Yuqing Liao, Xinke Li, Zekun Tong, Yabang Zhao, Andrew Lim, Zhenzhong Kuang, Cise Midoglu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Modeling Trajectories with Neural Ordinary Differential Equations.

Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

PointBA: Towards Backdoor Attacks in 3D Point Cloud.

Xinke Li, Zhirui Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID.

Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts.

Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Ling-Yu Duan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Directed Graph Convolutional Network.

Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim

CoRR, 2020

Digraph Inception Convolutional Networks.

Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David S. Rosenblum, Andrew Lim

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.

Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020