most citedMxT: Mamba x Transformer for Image Inpainting

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

SEM-Net: Efficient Pixel Modelling for image inpainting with Spatially Enhanced SSM

Shuang Chen, Haozheng Zhang, Amir Atapour-Abarghouei +1

Image inpainting aims to repair a partially damaged image based on the information from known regions of the images. \revise{Achieving semantically plausible inpainting results is…

cs.CV2024★ 3 cited

MxT: Mamba x Transformer for Image Inpainting

Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang +1

Image inpainting, or image completion, is a crucial task in computer vision that aims to restore missing or damaged regions of images with semantically coherent content. This techn…

cs.CV2024

OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction

Yini Fang, Jingling Yu, Haozheng Zhang +2

Visual search is important in our daily life. The efficient allocation of visual attention is critical to effectively complete visual search tasks. Prior research has predominantly…

cs.CV2023

Pose-based Tremor Type and Level Analysis for Parkinson's Disease from Video

Haozheng Zhang, Edmond S. L. Ho, Xiatian Zhang +2

Purpose:Current methods for diagnosis of PD rely on clinical examination. The accuracy of diagnosis ranges between 73% and 84%, and is influenced by the experience of the clinical…

eess.IV2023

Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI

Xiatian Zhang, Sisi Zheng, Hubert P. H. Shum +4

Resting-state fMRI (rs-fMRI) functional connectivity (FC) analysis provides valuable insights into the relationships between different brain regions and their potential implication…