Jialong Xie — accepted AI-conference papers

2025

Semi-Supervised Language-Conditioned Grasping With Curriculum-Scheduled Augmentation and Geometric Consistency

Jialong Xie, Fengyu Zhou, Jin Liu, Chaoqun Wang

RA-L 2025

Language-Conditioned Grasping (LCG) is an essential skill for robotic manipulation and has attracted increasing interest. Recent LCG models have made great progress, but need numerous paired image-text-pose annotations for fully supervised learning, which are tedious and expensive. Semi-supervised l

Cited by 1 Source ↗Scholar ↗

2024

Hierarchical Multi-Modal Fusion for Language-Conditioned Robotic Grasping Detection in Clutter

Jin Liu, Jialong Xie, Leibing Xiao, Chaoqun Wang, Fengyu Zhou

RA-L 2024

This letter concentrates on the challenging task of language-conditioned grasping detection in clutter, where the grasping postures of objects should be generated for robots according to complicated human instructions. Existing methods typically employ well-trained object detectors and leverage lang

Cited by 4 Source ↗Scholar ↗