我于2020年获得华南理工大学计算机科学博士学位。目前,我在该校计算机科学系担任博士后研究员。除了博士后工作之外,我还在黄埔的超级机器人研究所担任副研究员。

我的研究兴趣集中在机器人、计算机视觉、图像处理和稀疏编码的交叉领域。我特别感兴趣的是探索如何将这些领域融合在一起,开发出具有智能感知和与环境交互能力的先进机器人系统。

📝 已发表论文

CVPR 2025
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A universal scale-adaptive deformable transformer for image restoration across diverse artifacts

Xuyi He, Yuhui Quan, Ruotao Xu*, Hui Ji

CVPR 2025

NN 2025
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Image debanding using cross-scale invertible networks with banded deformable convolutions

Yuhui Quan, Xuyi He, Ruotao Xu*, Hui Ji

Neural Networks 2025

AAAI 2025 (Oral)
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Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight

Shaohui Pan, Yong Xu, Ruotao Xu*, Zihan Zhou, Si Wu, Zhuliang Yu

AAAI 2025 (Oral)

TPAMI 2024
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Deep Single Image Defocus Deblurring via Gaussian Kernel Mixture Learning

Yuhui Quan, Zicong Wu, Ruotao Xu*, Hui Ji

TPAMI 2024

SPL 2024
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Spatial Adaptive Filter Network With Scale-Sharing Convolution for Image Demoiréing

Yong Xu , Zhiyu Wei , Ruotao Xu*, Zihan Zhou, Zhuliang Yu

Signal Processing Letter 2024

CVIU 2024
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View-aligned pixel-level feature aggregation for 3D shape classification

Yong Xu, Shaohui Pan, Ruotao Xu*, Haibin Ling

CVIU 2024

3DV 2024
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PU-SDF: Arbitrary-Scale Uniformly Upsampling Point Clouds via Signed Distance Functions

Shaohui Pan, Yong Xu, Ruotao Xu*

3DV 2024

PR 2024
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Enhancing texture representation with deep tracing pattern encoding

Zhile Chen, Yuhui Quan, Ruotao Xu*, Lianwen Jin, Yong Xu

PR 2024

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Image Smoothing via Multiscale Global Perception

Xuyi He, Yuhui Quan, Yong Xu, Ruotao Xu*

Signal Processing Letter 2024

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Wavelet analysis model inspired convolutional neural networks for image denoising

Ruotao Xu, Yong Xu, Xuhui Yang, Haoran Huang, Zhenghua Lei, Yuhui Quan

Applied Mathematical Modelling 2024

ICCV 2023
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Deep Video Demoireing via Compact Invertible Dyadic Decomposition

Yuhui Quan, Huang haoran, Shengfeng He, Ruotao Xu*

ICCV 2023

ICCV 2023
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Fingerprinting Deep Image Restoration Models

Yuhui Quan, Huan Teng, Ruotao Xu*, Jun Huang, Hui Ji

ICCV 2023

ACM MM 2023
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No-reference image quality assessment using dynamic complex-valued neural model

Zihan Zhou, Yong Xu, Ruotao Xu, Yuhui Quan

ACM MM 2023

ICME 2023
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Deep blind image quality assessment using dual-order statistics

Zihan Zhou, Yong Xu, Yuhui Quan, Ruotao Xu*

ICME 2023

ICASSP 2023
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Deep scale-aware image smoothing

Jiachun Li, Kunkun Qin, Ruotao Xu*, Hui Ji

ICASSP 2023

TIP 2021
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Multi-view 3D shape recognition via correspondence-aware deep learning

Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan, Haibin Ling

TIP 2021

TIP 2021
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Structure-texture image decomposition using discriminative patch recurrence

Ruotao Xu, Yong Xu, Yuhui Quan

TIP 2021

TMM 2021
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Factorized tensor dictionary learning for visual tensor data completion

Ruotao Xu, Yong Xu, Yuhui Quan

TMM 2021

TMM 2021
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Image quality assessment using kernel sparse coding

Zihan Zhou, Jing Li, Yuhui Quan, Ruotao Xu

TMM 2021

SIIMS 2020
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Cartoon-texture image decomposition using orientation characteristics in patch recurrence

Ruotao Xu, Yong Xu, Yuhui Quan, Hui Ji

SIAM Journal on Imaging Sciences 2020

CVIU 2019
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Attention with structure regularization for action recognition

Yuhui Quan, Yixin Chen, Ruotao Xu*, Hui Ji

CVIU 2019

TCI 2019
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Removing reflection from a single image with ghosting effect

Yan Huang, Yuhui Quan, Yong Xu, Ruotao Xu, Hui Ji

TCI 2019

🎖 奖项

  • 2023.06 广东省计算机协会优秀论文一等奖

    📖 教育经历

  • 2015.09 - 2020.06, 华南理工大学
  • 2011.09 - 2015.06, 华南理工大学

💻 实习经历

  • 2016.06 - 2016.11,微软亚种研究院,北京,中国

🔎研究项目

  • 基于结构化注意力机制的图像补全关键技术研究,博士后项目,2020M682705,2020-09~2023-09,项目负责人,80,000元
  • 面向视觉数据修复的深度注意力机制研究,国家自然科学基金青年科学基金,62106077,2022-01~2024-12,项目负责人,300,000元
  • 形状先验驱动的散焦去模糊模型与算法研究,省自然科学基金,2022A1515011087,2022-01~2024-12,项目负责人,100,000元
  • 散焦图像去模糊深度学习模型与算法研究,特别资助项目,2022T150219,2022-09~2023-09,项目负责人,180,000元