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Jonathan Freer

2 accepted papers

2025

PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation

CVPR 2025poster

We study multi-dataset training (MDT) for pose estimation, where skeletal heterogeneity presents a unique challenge that existing methods have yet to address. In traditional domains, e.g. regression and classification, MDT typically relies on dataset merging or multi-head supervision. However, the d…

2023

Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation

ICRA 2023poster

Clothes grasping and unfolding is a core step in robotic-assisted dressing. Most existing works leverage depth images of clothes to train a deep learning-based model to recognize suitable grasping points. These methods often utilize physics engines to synthesize depth images to reduce the cost of re…

Cited by 5SourceScholar