Longkun Zou

According to our database, Longkun Zou authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition.

Longkun Zou, Kangjun Liu, Ke Chen, Kailing Guo, Kui Jia, Yaowei Wang

CoRR, June, 2025

Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation.

Li Yu, Hongchao Zhong, Longkun Zou, Ke Chen, Pan Gao

IEEE Trans. Circuits Syst. Video Technol., May, 2025

Unsupervised Domain Adaptation on Point Cloud Classification via Imposing Structural Manifolds into Representation Space.

Hongchao Zhong, Li Yu, Longkun Zou, Ke Chen

Proceedings of the Computational Visual Media - 13th International Conference, 2025

2024

Boosting Cross-Domain Point Classification via Distilling Relational Priors From 2D Transformers.

Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang

IEEE Trans. Circuits Syst. Video Technol., December, 2024

2022

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap.

Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds.

Longkun Zou, Hui Tang, Ke Chen, Kui Jia

CoRR, 2021

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds.

Longkun Zou, Hui Tang, Ke Chen, Kui Jia

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