2 papers
cs.RO2026
RetrDex: Efficient Object Retrieval in Cluttered Scenes with a Dexterous Hand
Fengshuo Bai, Yu Li, Jie Chu +5
Retrieving objects buried beneath clutter is both challenging and time-consuming, as complex support relationships make manipulation particularly difficult. Existing methods either…
cs.CV2025
Learning Dual Transformers for All-In-One Image Restoration from a Frequency Perspective
Jie Chu, Tong Su, Pei Liu +4
This work aims to tackle the all-in-one image restoration task, which seeks to handle multiple types of degradation with a single model. The primary challenge is to extract degrada…