38 citations · 110 across the 18 of their papers we have counts for
18 papers
Physically Interpretable Multi-Degradation Image Restoration via Deep Unfolding and Explainable Convolution
Hu Gao, Xiaoning Lei, Xichen Xu +2
Although image restoration has advanced significantly, most existing methods target only a single type of degradation. In real-world scenarios, images often contain multiple degrad…
MBMamba: When Memory Buffer Meets Mamba for Structure-Aware Image Deblurring
Hu Gao, Xiaoning Lei, Xichen Xu +2
The Mamba architecture has emerged as a promising alternative to CNNs and Transformers for image deblurring. However, its flatten-and-scan strategy often results in local pixel for…
Enhancing Image Restoration through Learning Context-Rich and Detail-Accurate Features
Hu Gao, Depeng Dang
Image restoration involves recovering high-quality images from their corrupted versions, requiring a nuanced balance between spatial details and contextual information. While certa…
Towards Arbitrary-Scale Spacecraft Image Super-Resolution via Salient Region-Guidance
Jingfan Yang, Hu Gao, Ying Zhang +1
Spacecraft image super-resolution seeks to enhance low-resolution spacecraft images into high-resolution ones. Although existing arbitrary-scale super-resolution methods perform we…
Towards Differential Handling of Various Blur Regions for Accurate Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to restore high-quality images by removing undesired degradation. Although existing methods have yielded promising results, they either overlook the varying d…
Adaptive Identification of Blurred Regions for Accurate Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to restore high-quality images from blurred ones. While existing deblurring methods have made significant progress, most overlook the fact that the degradatio…
Spatial and Frequency Domain Adaptive Fusion Network for Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to reconstruct a latent sharp image from its corresponding blurred one. Although existing methods have achieved good performance, most of them operate exclusi…
Structure Modeling Activation Free Fourier Network for Spacecraft Image Denoising
Jingfan Yang, Hu Gao, Ying Zhang +2
Spacecraft image denoising is a crucial fundamental technology closely related to aerospace research. However, the existing deep learning-based image denoising methods are primaril…
Exploring Richer and More Accurate Information via Frequency Selection for Image Restoration
Hu Gao, Depeng Dang
Image restoration aims to recover high-quality images from their corrupted counterparts. Many existing methods primarily focus on the spatial domain, neglecting the understanding o…
Learning Accurate and Enriched Features for Stereo Image Super-Resolution
Hu Gao, Depeng Dang
Stereo image super-resolution (stereoSR) aims to enhance the quality of super-resolution results by incorporating complementary information from an alternative view. Although curre…
Emphasizing Crucial Features for Efficient Image Restoration
Hu Gao, Bowen Ma, Ying Zhang +3
Image restoration is a challenging ill-posed problem which estimates latent sharp image from its degraded counterpart. Although the existing methods have achieved promising perform…
Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to restore a high-quality image from its corresponding blurred. The emergence of CNNs and Transformers has enabled significant progress. However, these method…
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…
Natural Language Aggregate Query over RDF Data
Xin Hu, Yingting Yao, Luting Ye +1
Natural language question-answering over RDF data has received widespread attention. Although there have been several studies that have dealt with a small number of aggregate queri…