38 citations · 110 across the 18 of their papers we have counts for
5 papers · 1 filter
Prompt-based Ingredient-Oriented All-in-One Image Restoration
Hu Gao, Depeng Dang
Image restoration aims to recover the high-quality images from their degraded observations. Since most existing methods have been dedicated into single degradation removal, they ma…
A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
Hu Gao, Jing Yang, Ying Zhang +3
Image restoration is the task of aiming to obtain a high-quality image from a corrupt input image, such as deblurring and deraining. In image restoration, it is typically necessary…
SU-Net: Pose estimation network for non-cooperative spacecraft on-orbit
Hu Gao, Zhihui Li, Depeng Dang +2
Spacecraft pose estimation plays a vital role in many on-orbit space missions, such as rendezvous and docking, debris removal, and on-orbit maintenance. At present, space images co…
Reentry Risk and Safety Assessment of Spacecraft Debris Based on Machine Learning
Hu Gao, Zhihui Li, Depeng Dang +2
Uncontrolled spacecraft will disintegrate and generate a large amount of debris in the reentry process, and ablative debris may cause potential risks to the safety of human life an…
Mixed Hierarchy Network for Image Restoration
Hu Gao, Depeng Dang
Image restoration is a long-standing low-level vision problem, e.g., deblurring and deraining. In the process of image restoration, it is necessary to consider not only the spatial…