Jiehong Lin

Jiehong Lin (林杰鸿)

I obtained my Ph.D. degree from South China University of Technology under the supervision of Prof. Kui Jiain 2023.06. Before Ph.D., I received a BEng degree from South China University of Technology.

Research Field: Machine Learning | Computer Vision | 3D Semantic Analysis

Email: mortimer.jh.lin@gmail.com; lin.jiehong @ mail.scut.edu.cn

Other Link: [Google Scholar] [Github]

News

[03/2024] NEW Our work SAM-6D for zero-shot 6D object pose estimation gets accepted to CVPR 2024. [Paper][Code]

[07/2023] One paper gets accepted to ICCV 2023.

[06/2023] I obtain my Ph.D. degree.

[04/2023] One paper gets accepted to IJCAI 2023.

Education

2017.09 - 2023.06	South China University of Technology, Guangzhou, China Ph.D, Advisor: Prof. Kui Jia Electronic and Information Engineering
2013.09 - 2017.06	South China University of Technology, Guangzhou, China Bachelor of Engineering Electronic and Information Engineering

Pre-Prints

	Point-MA2E: Masked and Affine Transformed AutoEncoder for Self-supervised Point Cloud Learning Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang Under submission. [Arxiv]
	Masked Surfel Prediction for Self-Supervised Point Cloud Learning Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang Under submission. [Arxiv] [Code]
	CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling Jiehong Lin, Shi Xian, Yuan Gao, Ke Chen, Kui Jia Under submission. [Arxiv] [Code]

Publications

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

Jiehong Lin*, Lihua Liu*, Dekun Lu, Kui Jia (* joint first authors)

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024

[Arxiv] [Code]

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 (ICCV). 2023

[Paper] [Supplemental] [Arxiv] [Code]

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

International Joint Conference on Artificial Intelligence Organization (IJCAI). 2023

[Arxiv] [Code]

Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks

Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia

European Conference on Computer Vision (ECCV). 2022

[Paper] [Arxiv] [Code]

	DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation Hongyang Li, Jiehong Lin, Kui Jia (* joint first authors) European Conference on Computer Vision (ECCV). 2022 [Paper] [Arxiv] [Code]
	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, Jiangbo Lu, Kui Jia (* joint first authors) Advances in Neural Information Processing Systems (NeurIPS). 2021 [Paper] [Supplemental] [Arxiv] [Code]
	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 IEEE/CVF International Conference on Computer Vision (ICCV). 2021 [Paper] [Supplemental] [Arxiv] [Code]
	Geometry-Aware Generation of Adversarial Point Clouds Yuxin Wen, Jiehong Lin, Ke Chen, C.L. Philip Chen, Kui Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2020 [Paper] [Code]
	Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao IEEE Transactions on Image Processing (TIP). 2019 [Paper] [Code]

Services

Reviewers: CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, TIP, TMM, TCSVT, TMLR.