Jiehong Lin - RankMe

27 papers A* 6Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	ASSIST-3D: Adapted Scene Synthesis for Class-Agnostic 3D Instance Segmentation. AAAI Shengchao Zhou, Jiehong Lin, Jiahui Liu, Shizhen Zhao, Chirui Chang, Xiaojuan Qi
2025	J	`jnl`	ASSIST-3D: Adapted Scene Synthesis for Class-Agnostic 3D Instance Segmentation. CoRR Shengchao Zhou, Jiehong Lin, Jiahui Liu, Shizhen Zhao, Chirui Chang, Xiaojuan Qi
2025	J	`jnl`	Learning to Reason in 4D: Dynamic Spatial Understanding for Vision Language Models. CoRR Shengchao Zhou, Yuxin Chen, Yuying Ge, Wei Huang, Jiehong Lin, Ying Shan, Xiaojuan Qi
2025	J	`jnl`	MG-Nav: Dual-Scale Visual Navigation via Sparse Spatial Memory. CoRR Bo Wang, Jiehong Lin, Chenzhi Liu, Xinting Hu, Yifei Yu, Tianjia Liu, Zhongrui Wang, Xiaojuan Qi
2025	J	`jnl`	PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation. CoRR Lihua Liu, Jiehong Lin, Zhenxin Liu, Kui Jia
2025	J	`jnl`	Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning. IEEE Trans. Neural Networks Learn. Syst. Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang
2024	A*	`conf`	SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. CVPR Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia
2023	A*	`conf`	Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. IJCAI Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia
2023	J	`jnl`	Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. CoRR Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia
2023	J	`jnl`	SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. CoRR Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia
2023	A*	`conf`	VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. ICCV Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia
2023	J	`jnl`	VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. CoRR Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia
2022	—	`conf`	Category-Level 6D Object Pose and Size Estimation Using Self-supervised Deep Prior Deformation Networks. ECCV (9) Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia
2022	J	`jnl`	Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks. CoRR Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia
2022	—	`conf`	DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. ECCV (9) Hongyang Li, Jiehong Lin, Kui Jia
2022	J	`jnl`	DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation. CoRR Hongyang Li, Jiehong Lin, Kui Jia
2022	J	`jnl`	Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia
2022	J	`jnl`	Masked Surfel Prediction for Self-Supervised Point Cloud Learning. CoRR Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang
2022	J	`jnl`	Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning. CoRR Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang
2021	A*	`conf`	DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency. ICCV Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li
2021	J	`jnl`	DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency. CoRR Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li
2021	A*	`conf`	Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. NeurIPS Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia
2021	J	`jnl`	Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. CoRR Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia
2020	J	`jnl`	CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. CoRR Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia
2019	J	`jnl`	Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers. IEEE Trans. Image Process. Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao
2019	J	`jnl`	Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers. CoRR Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao
2019	J	`jnl`	Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia