Jiehong Lin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 20

Top Topics

Pose Estimation

Top Venues

IEEE Trans. Image Process.

Publications

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)
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 (2023)
Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. CoRR (2023)
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 (2023)
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)
Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning. CoRR (2022)
Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia
Category-Level 6D Object Pose and Size Estimation Using Self-supervised Deep Prior Deformation Networks. ECCV (9) (2022)
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) (2022)
Hongyang Li, Jiehong Lin, Kui Jia
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. ECCV (9) (2022)
Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang
Masked Surfel Prediction for Self-Supervised Point Cloud Learning. CoRR (2022)
Hongyang Li, Jiehong Lin, Kui Jia
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. CoRR (2022)
Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks. CoRR (2022)
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)
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 (2021)
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 (2021)
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)
Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia
CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. CoRR (2020)
Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers. CoRR (2019)
Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia
Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR (2019)
Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao
Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers. IEEE Trans. Image Process. 28 (10) (2019)