Xiaole Zhao (赵小乐)
|
- Institude: Southwest Jiaotong University (SWJTU)
- Department: School of Computing and Artificial Intelligence
- Address: Xipu Campus, West Park of Chengdu High-tech Zone, 611756 | Chengdu, Sichuan, P.R.China
- Tel: +86-15881624882
- Email: zxlation@foxmail.com | zxlation@swjtu.edu.cn
- [Homepage][Github][CV-ZH][CV-EN][]
|
Biography
I worked with Dr. Tao Zhang and Dr. Xueming Zou in the Key Laboratory for NeuroInformation of Ministry of Education, and received my Ph.D degree at School of Life Science and Technology, University of Electronic Science and Technology of
China (UESTC), Chengdu, China. I am now an assistant professor in the school of information science and technology of Southwest Jiaotong University (SWJTU).
My research interest mainly focuses on digital image & video processing, machine learning & deep learning. Recently, I have been working
on the low-level computer vision tasks of medical images with deep learning techniques, including image restoration and reconstruction, super-resolution, and recognition.
Education
- 2016/09 ~ 2020/06: Ph.D Student in Biomedical Engineering
School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, China
- 2013/09 ~ 2016/06: M.E Degree in Software Engineering
School of Computer Science and Technology, Southwest University of Science and Technology (SWUST), Mianyang, China
- 2009/09 ~ 2013/06: B.S. Degree in Software Engineering
School of Computer Science and Technology, Southwest University of Science and Technology (SWUST), Mianyang, China
News
- 2023/08/14
One paper on lightweight super-resolution is accepted to BMVC2023.
- 2023/08/14
One paper on multi-task deep clustering is accepted by IEEE TNNLS.
- 2023/07/14
One paper on image super-resolution is accepted to ICCV2023.
- 2023/04/11
One paper on lightweight image super-resolution is accepted to CVPR2023 Workshop.
- 2022/11/02
I serve as a reviewer for CVPR2023.
- 2022/10/07
I serve as a reviewer for IEEE TIP.
- 2022/07/30
I serve as a reviewer for AAAI2023.
- 2022/03/24
One paper on MR image super-resolution gets accepted to KBS.
- 2022/02/01
I serve as a reviewer for MICCAI2022.
- 2021/08/22
I serve as a reviewer for IEEE CIM.
- 2021/03/25
One paper on MR image super-resolution gets accepted to IEEE TCSVT.
- 2021/03/06
Our work on real image denoising is accepted to CVPR 2021.
- 2021/03/06
One of our papers on MR image super-resolution is accepted to ICME 2021.
- 2020/08/19
We have one paper accepted to CVIU.
- 2020/06/19
I serve as a reviewer for IEEE TMI.
- 2019/05/30
Our work on MR image super-resolution with channel splitting is accepted to IEEE TIP.
Publications
Journal Papers
- Multitask-Guided Deep Clustering With Boundary Adaptation [PDF]
Xiaobo Zhang, Tao Wang, Xiaole Zhao, Dengmin Wen, Donghai Zhai
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (IF: 10.2), doi:10.1109/TNNLS.2023.3307126, 2022
- Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network [PDF]
Xiaole Zhao, Yulun Zhang, Yun Qin, Qian Wang, Tao Zhang, and Tianrui Li
Knowledge-Based Systems (KBS) (IF: 7.2), vol.246, pp.108669, 2022
- Wide Weighted Attention Multi-Scale Network for Accurate MR Image Super-Resolution [PDF]
Haoqian Wang, Xiaowan Hu, Xiaole Zhao, and Yulun Zhang
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) (IF: 8.3), vol.32, no.3, pp.962-975, 2021
- Channel splitting network for single MR image super-resolution [PDF][datasets (fetch code: kn3d)]
Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou
IEEE Transactions on Image Processing (IEEE TIP) (IF: 10.8), vol.28, no.11, pp.5649-5662, 2019
- Accurate MR image super-resolution via lightweight lateral inhibition network [PDF][code]
Xiaole Zhao, Xiafei Hu, Ying Liao, Tian He, Tao Zhang, Xueming Zou, Jinsha Tian
Computer Vision and Image Understanding (CVIU) (IF: 4.3), vol.201, pp.103075, 2020
- Single image super-resolution via blind blurring estimation and dictionary learning [PDF]
Xiaole Zhao,Yadong Wu, Jinsha Tian, Hongying Zhang
Neurocomputing (IF: 5.5), vol.212, pp.3-11, 2016
- Gibbs-ringing artifact suppression with knowledge transfer from natural images to MR images [PDF]
Xiaole Zhao, Huali Zhang, Yuliang Zhou, Wei Bian, Tao Zhang, Xueming Zou
Multimedia Tools and Applications (MTAP) (IF: 3.0), vol.79, no.45, pp.33711-33733, 2019
- Single Image super-resolution via blind blurring estimation and anchored space mapping [PDF]
Xiaole Zhao, Yadong Wu, Jinsha Tian, Hongying Zhang
Computational Visual Media (CVM) (IF:17.3) (中国科技期刊卓越行动计划入选项目), vol.21, no.1, pp.71-85, 2016
- FC2N: Fully channel-concatenated network for single image super-resolution [PDF] [code]
Xiaole Zhao,Ying Liao, Ye Li, Tao Zhang, Xueming Zou
arXiv PrePrint: https://arxiv.org/abs/1907.03221, 2019
Conference Papers
- Boosting single image super-resolution via partial channel shifting [PDF]
Xiaoming Zhang, Tianrui Li, Xiaole Zhao
The International Conference on Computer Vision (ICCV 2023), Paris, France, Oct 02 ~ 06, 2023:13223-13232.
- Lightweight Image Super-Resolution with Scale-wise Network [PDF]
Xiaole Zhao, Xinkun Wu
The 34th British Machine Vision Conference (BMVC 2023), Aberdeen, UK, Nov. 20 ~ 24, 2023.
- Pseudo 3D Auto-Correlation Network for Real Image Denoising [PDF]
Xiaowan Hu, Zhihong Liu, Ruijun Ma, Yuanhao Cai, Haoqian Wang, Xiaole Zhao, Yulun Zhang
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Event, Jun. 19 ~ 25, 2021:16175-16184.
- Pyramid Orthogonal Attention Network based on Dual Self-Similarity for Accurate MR Image Super-Resolution [PDF]
Xiaowan Hu, Haoqian Wang, Yuanhao Cai, Xiaole Zhao, and Yulun Zhang
The International Conference on Multimedia and Expo (ICME 2021), Shenzhen, China, Jul. 5 ~ 9, 2021.
- Isotropic MRI reconstruction with 3D convolutional neural network [PDF][Abstract]
Xiaole Zhao, Xiafei Hu, Tao Zhang, Xueming Zou
The International Society for Magnetic Resonance in Medicine (ISMRM 2020), Sydney, Australia, 2020.
- A lightweight lateral inhibition network for single MR image super-resolution [PDF][Poster][Spotlight]
Xiaole Zhao, Tao Zhang, Xueming Zou
The 2020 International Conference on Intelligence Science and Big Data Engineering (ISCIDE 2019), Nanjing, China, Oct. 18 ~ 20, 2019.
- Multilevel Residual Learning for Single Image Super Resolution [PDF][Poster]
Xiaole Zhao, Hangfei Liu, Tao Zhang, Wei Bian, Xueming Zou
Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2018), Guangzhou, China, pp. 537-549, Nov. 23 ~ 26, 2018.
- Single Image Super-Resolution via Blind Blurring Estimation and Anchored Space Mapping [PDF]
Xiaole Zhao, Yadong Wu, Jinsha Tian, Hongying Zhang
The 4th International Conference on Computational Visual Media (CVM 2016), Cardiff University, UK, Apr. 6 ~ 8, 2016.
- Single Image Super-Resolution via Blind Blurring Estimation and Dictionary Learning [PDF]
Xiaole Zhao, Yadong Wu, Jinsha Tian, Hongying Zhang
The 1st CCF Chinese Conference on Computer Vision (CCCV 2015), Xi'an, China, pp. 22-33, Sep. 18 ~ 20, 2015.
Projects
-
Research on Super-Resolution Enhanced Medical Image Diagnosis based on Generative Adversarial Model (National Natural Science Foundation of China: 62102330)
-
Unsupervised Super-Resolution Reconstruction for Medical Image Diagnosis (Fundamental Research Funds for the Central Universities: 2682021CX040)
-
Research on Single Image Super-Resolution based on Blind Blurring Estimation and Anchor Space Mapping (Key Project of SWUST Innovation Fund: 15ycx053)
-
Research on Image Super-Resolution Reconstruction: Models and Algorithms (Key Project of Sichuan Provincial Education Department: 11ZA130)
Internship
- 2015/04 ~ 2015/09: Intel (Chengdu Site)
- 2013/05 ~ 2013/09: China Academy of Engineering Physics (Mianyang)
Awards
- Sichuan outstanding master's degree graduates, Southwest University of Science and Technology, China, 2015
- National scholarship for graduate students, Southwest University of Science and Technology, China, 2015
- National scholarship for undergraduates, Southwest University of Science and Technology, China, 2010
Useful External Links
Created on Oct. 16, 2018. Last update: Sep. 08, 2023
by Xiaole Zhao