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20222026
most citedShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal

33 citations · 53 across the 33 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 3 cited

MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation

Xuhang Chen, Chi-Man Pun, Shuqiang Wang

Cross-modal medical image translation is an essential task for synthesizing missing modality data for clinical diagnosis. However, current learning-based techniques have limitation…

cs.CV2023★ 5 cited

Generative AI Enables Structural Brain Network Construction from fMRI via Symmetric Diffusion Learning

Qiankun Zuo, Bangjun Lei, Wanyu Qiu +3

Mapping from functional connectivity (FC) to structural connectivity (SC) can facilitate multimodal brain network fusion and discover potential biomarkers for clinical implications…

cs.CV2023★ 3 cited

High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net

Zinuo Li, Xuhang Chen, Chi-Man Pun +1

Shadows often occur when we capture the documents with casual equipment, which influences the visual quality and readability of the digital copies. Different from the algorithms fo…

cs.CV2023

Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion

Shenghong Luo, Xuhang Chen, Weiwen Chen +3

Vignetting commonly occurs as a degradation in images resulting from factors such as lens design, improper lens hood usage, and limitations in camera sensors. This degradation affe…

cs.CV2023

DocDeshadower: Frequency-Aware Transformer for Document Shadow Removal

Ziyang Zhou, Yingtie Lei, Xuhang Chen +4

Shadows in scanned documents pose significant challenges for document analysis and recognition tasks due to their negative impact on visual quality and readability. Current shadow…

cs.AI2023

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline

Xuhang Chen, Baiying Lei, Chi-Man Pun +1

Brain network analysis is essential for diagnosing and intervention for Alzheimer's disease (AD). However, previous research relied primarily on specific time-consuming and subject…

cs.CV2023

A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement

Zinuo Li, Xuhang Chen, Shuqiang Wang +1

Film, a classic image style, is culturally significant to the whole photographic industry since it marks the birth of photography. However, film photography is time-consuming and e…