22 citations · 36 across the 6 of their papers we have counts for
7 papers
GenHOI: Generalized Hand-Object Pose Estimation with Occlusion Awareness
Hui Yang, Wei Sun, Jian Liu +6
Generalized 3D hand-object pose estimation from a single RGB image remains challenging due to the large variations in object appearances and interaction patterns, especially under…
3D-SONAR: Self-Organizing Network for 3D Anomaly Ranking
Guodong Xu, Juan Du, Hui Yang
Surface anomaly detection using 3D point cloud data has gained increasing attention in industrial inspection. However, most existing methods rely on deep learning techniques that a…
Occlusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders
Hui Yang, Wei Sun, Jian Liu +3
Hand-object pose estimation from monocular RGB images remains a significant challenge mainly due to the severe occlusions inherent in hand-object interactions. Existing methods do…
MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model
Jian Liu, Wei Sun, Hui Yang +4
Object pose estimation is a core means for robots to understand and interact with their environment. For this task, monocular category-level methods are attractive as they require…
Scalable Unseen Objects 6-DoF Absolute Pose Estimation with Robotic Integration
Jian Liu, Wei Sun, Kai Zeng +5
Pose estimation-guided unseen object 6-DoF robotic manipulation is a key task in robotics. However, the scalability of current pose estimation methods to unseen objects remains a f…
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
Jian Liu, Wei Sun, Hui Yang +5
Nine-degrees-of-freedom (9-DoF) object pose and size estimation is crucial for enabling augmented reality and robotic manipulation. Category-level methods have received extensive r…
Deep Learning-Based Object Pose Estimation: A Comprehensive Survey
Jian Liu, Wei Sun, Hui Yang +7
Object pose estimation is a fundamental computer vision problem with broad applications in augmented reality and robotics. Over the past decade, deep learning models, due to their…