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…
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…
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…
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…
Neural Brain: A Neuroscience-inspired Framework for Embodied Agents
Jian Liu, Xiongtao Shi, Thai Duy Nguyen +13
The rapid evolution of artificial intelligence (AI) has shifted from static, data-driven models to dynamic systems capable of perceiving and interacting with real-world environment…
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…