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

A universal scale-adaptive deformable transformer for image restoration across diverse artifacts
Xuyi He, Yuhui Quan, Ruotao Xu*, Hui Ji
CVPR 2025

Image debanding using cross-scale invertible networks with banded deformable convolutions
Yuhui Quan, Xuyi He, Ruotao Xu*, Hui Ji
Neural Networks 2025

Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight
Shaohui Pan, Yong Xu, Ruotao Xu*, Zihan Zhou, Si Wu, Zhuliang Yu
AAAI 2025 (Oral)

Deep Single Image Defocus Deblurring via Gaussian Kernel Mixture Learning
Yuhui Quan, Zicong Wu, Ruotao Xu*, Hui Ji
TPAMI 2024

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

View-aligned pixel-level feature aggregation for 3D shape classification
Yong Xu, Shaohui Pan, Ruotao Xu*, Haibin Ling
CVIU 2024

PU-SDF: Arbitrary-Scale Uniformly Upsampling Point Clouds via Signed Distance Functions
Shaohui Pan, Yong Xu, Ruotao Xu*
3DV 2024

Enhancing texture representation with deep tracing pattern encoding
Zhile Chen, Yuhui Quan, Ruotao Xu*, Lianwen Jin, Yong Xu
PR 2024

Image Smoothing via Multiscale Global Perception
Xuyi He, Yuhui Quan, Yong Xu, Ruotao Xu*
Signal Processing Letter 2024

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

Deep Video Demoireing via Compact Invertible Dyadic Decomposition
Yuhui Quan, Huang haoran, Shengfeng He, Ruotao Xu*
ICCV 2023

Fingerprinting Deep Image Restoration Models
Yuhui Quan, Huan Teng, Ruotao Xu*, Jun Huang, Hui Ji
ICCV 2023

No-reference image quality assessment using dynamic complex-valued neural model
Zihan Zhou, Yong Xu, Ruotao Xu, Yuhui Quan
ACM MM 2023

Deep blind image quality assessment using dual-order statistics
Zihan Zhou, Yong Xu, Yuhui Quan, Ruotao Xu*
ICME 2023

Deep scale-aware image smoothing
Jiachun Li, Kunkun Qin, Ruotao Xu*, Hui Ji
ICASSP 2023

Multi-view 3D shape recognition via correspondence-aware deep learning
Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan, Haibin Ling
TIP 2021

Structure-texture image decomposition using discriminative patch recurrence
Ruotao Xu, Yong Xu, Yuhui Quan
TIP 2021

Factorized tensor dictionary learning for visual tensor data completion
Ruotao Xu, Yong Xu, Yuhui Quan
TMM 2021

Image quality assessment using kernel sparse coding
Zihan Zhou, Jing Li, Yuhui Quan, Ruotao Xu
TMM 2021

Cartoon-texture image decomposition using orientation characteristics in patch recurrence
Ruotao Xu, Yong Xu, Yuhui Quan, Hui Ji
SIAM Journal on Imaging Sciences 2020

Attention with structure regularization for action recognition
Yuhui Quan, Yixin Chen, Ruotao Xu*, Hui Ji
CVIU 2019

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