Jiehong Lin

According to our database, Jiehong Lin authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation.

Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose.

Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations.

Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Geometry-Aware Generation of Adversarial Point Clouds.

Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning.

Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang

CoRR, 2022

Masked Surfel Prediction for Self-Supervised Point Cloud Learning.

Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang

CoRR, 2022

Category-Level 6D Object Pose and Size Estimation Using Self-supervised Deep Prior Deformation Networks.

Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia

Proceedings of the Computer Vision - ECCV 2022, 2022

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation.

Hongyang Li, Jiehong Lin, Kui Jia

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space.

Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency.

Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li

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

2020

CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling.

Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia

CoRR, 2020

2019

Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers.

Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao

IEEE Trans. Image Process., 2019

Geometry-aware Generation of Adversarial and Cooperative Point Clouds.

Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia

CoRR, 2019