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Ke Chen 0004
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Publications
- 2023
- [c45]Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia:
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. IJCAI 2023: 1740-1748 - [i28]Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia:
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. CoRR abs/2305.10808 (2023) - 2022
- [j30]Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia:
Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2984-2999 (2022) - 2021
- [c37]Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia:
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. NeurIPS 2021: 16779-16790 - [i18]Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia:
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. CoRR abs/2111.07383 (2021) - 2020
- [i14]Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia:
CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. CoRR abs/2009.04660 (2020) - 2019
- [i9]Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia:
Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR abs/1912.11171 (2019)
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