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Longkun Zou

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2024
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  - journals/corr/abs-2407-18534
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Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang:
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers. CoRR abs/2407.18534 (2024)
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  - journals/corr/abs-2409-06956
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Li Yu, Hongchao Zhong, Longkun Zou, Ke Chen, Pan Gao:
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation. CoRR abs/2409.06956 (2024)
2022
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  - conf/eccv/ChenWZ0J22
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Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia:
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. ECCV (33) 2022: 728-745
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  - journals/corr/abs-2203-03833
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Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia:
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. CoRR abs/2203.03833 (2022)
2021
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  - conf/iccv/ZouT0J21
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Longkun Zou, Hui Tang, Ke Chen, Kui Jia:
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. ICCV 2021: 6383-6392
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  - journals/corr/abs-2108-09169
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Longkun Zou, Hui Tang, Ke Chen, Kui Jia:
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds. CoRR abs/2108.09169 (2021)

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