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Jiehong Lin
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2020 – today
- 2024
- [c7]Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia:
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. CVPR 2024: 27906-27916 - 2023
- [c6]Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia:
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. ICCV 2023: 13955-13965 - [c5]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 - [i12]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) - [i11]Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia:
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. CoRR abs/2308.09916 (2023) - [i10]Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia:
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. CoRR abs/2311.15707 (2023) - 2022
- [j2]Yuxin Wen
Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2984-2999 (2022) - [c4]Jiehong Lin
Category-Level 6D Object Pose and Size Estimation Using Self-supervised Deep Prior Deformation Networks. ECCV (9) 2022: 19-34 - [c3]Hongyang Li
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. ECCV (9) 2022: 369-385 - [i9]Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang:
Masked Surfel Prediction for Self-Supervised Point Cloud Learning. CoRR abs/2207.03111 (2022) - [i8]Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia:
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks. CoRR abs/2207.05444 (2022) - [i7]Hongyang Li, Jiehong Lin, Kui Jia:
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. CoRR abs/2210.05232 (2022) - [i6]Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang:
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning. CoRR abs/2211.06841 (2022) - 2021
- [c2]Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li:
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency. ICCV 2021: 3540-3549 - [c1]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 - [i5]Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li:
DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency. CoRR abs/2103.06526 (2021) - [i4]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
- [i3]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)
2010 – 2019
- 2019
- [j1]Kui Jia
Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers. IEEE Trans. Image Process. 28(10): 5121-5134 (2019) - [i2]Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao:
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers. CoRR abs/1904.11151 (2019) - [i1]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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