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Jiehong Lin

10 papers · 2021–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+1 more ↓ 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (12) πŸ’Ž Century Club Β· Bronze
πŸ”₯ Unstoppable Β· Bronze

Venues

CVPR (2) ECCV (2) ICCV (2) AAAI (1) CoRL (1) IJCAI (1) NeurIPS (1)

Top co-authors

Kui Jia (8) Zewei Wei (3) Ke Chen (2) Shengchao Zhou (2) Hongyang Li (2) Xiaojuan Qi (2) Lihua Liu (2) Ying Shan (1) Yuanqing Li (1) Zelin Xu (1)

Research topics

Computer Vision (8) Analysis (8) Machine Learning (3) Deep Learning (2) Robotics (2) Capabilities (2) Learning Types (2) Techniques (2) Artificial Intelligence (1) Application Areas (1) Architectures (1) Core AI (1) Core Methods (1)

Keywords

6d pose estimation (3) instance segmentation (2) pose estimation (2) point matching (1) video understanding (1) unsupervised domain adaptation (1) geometric prior (1) vision-language model (1) rgb-d image (1) semantic class (1) multiple-choice question answering (1) affine transformation (1) spherical convolution (1) depth-first search (1) pose tracking (1) sparse convolution (1) object pose (1) category-level pose (1) pose consistency (1) rotation estimation (1)

Papers

ASSIST-3D: Adapted Scene Synthesis for Class-Agnostic 3D Instance Segmentation AAAI 2026 Learning to Reason in 4D: Dynamic Spatial Understanding for Vision Language Models CVPR 2026 PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation CoRL 2025 SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation CVPR 2024 Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose IJCAI 2023 VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations ICCV 2023 Category-Level 6D Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks ECCV 2022 DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation ECCV 2022 DualPoseNet: Category-Level 6D Object Pose and Size Estimation Using Dual Pose Network With Refined Learning of Pose Consistency ICCV 2021 Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space NeurIPS 2021