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20212025
most citedModel-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction

31 citations · 42 across the 6 of their papers we have counts for

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cs.CV2025

EmoFeedback: Reinforcement of Continuous Emotional Image Generation via LVLM-based Reward and Textual Feedback

Kai Shu, Jingyang Jia, Gang Yang +3

Continuous emotional image content generation (C-EICG) is emerging rapidly due to its ability to produce images aligned with both user descriptions and continuous emotional values.…

cs.CV2024

Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation

Fanzhe Yan, Gang Yang, Yu Li +2

Deep learning techniques have demonstrated great potential for accurately estimating brain age by analyzing Magnetic Resonance Imaging (MRI) data from healthy individuals. However,…

cs.CV2023

HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising

Qizhou Wang, Li Pang, Xiangyong Cao +2

Hyperspectral image (HSI) denoising is essentially ill-posed since a noisy HSI can be degraded from multiple clean HSIs. However, existing deep learning (DL)-based approaches only…

cs.CV2023★ 2 cited

PanFlowNet: A Flow-Based Deep Network for Pan-sharpening

Gang Yang, Xiangyong Cao, Wenzhe Xiao +4

Pan-sharpening aims to generate a high-resolution multispectral (HRMS) image by integrating the spectral information of a low-resolution multispectral (LRMS) image with the texture…

cs.CV2021★ 9 cited

Unfolding Taylor's Approximations for Image Restoration

Man Zhou, Zeyu Xiao, Xueyang Fu +3

Deep learning provides a new avenue for image restoration, which demands a delicate balance between fine-grained details and high-level contextualized information during recovering…