I am Wenbin Zou, a Ph.D. student at the South China University of Technology, supervised by Prof. Hongxia Gao. My primary research interests include computer vision and deep learning, mainly focusing on image restoration, image generation and related vision problems. I am looking for overseas exchanges and cooperation. My resume is as follows: CV

Welcome to contact me through WeChat. My WeChat account is AlexZou14.

📝 Arxiv&Publications

My research works are dedicated to: (1) Performing extreme low-light vision enhancement, under degraded conditions. (2) Generative Models for Image Generation/Editing/Enhancement. (3) Image Restoration under Complex Degradation Models.

Joint Wavelet Sub-bands Guided Network for Single Image Super-Resolution
Wenbin Zou, Liang Chen, Yi Wu, Yunchen Zhang, Yuxiang Xu, Jun Shao.
IEEE TMM 2022
PDF | code

This paper propose a novel CNN-based super-resolution method named joint wavelet sub-bands guided network (JWSGN). We separate the different frequency information of the image by the WT and then recover this information by a multi-branch network.

VQCNIR: Clearer Night Image Restoration with Vector-Quantized Dictionary
Wenbin Zou, Hongxia Gao, Liang Chen, Tian Ye, Weipeng Yang, Shasha Huang, Hongshen Chen.
AAAI, 2024
PDF | code

Sdwnet: A straight dilated network with wavelet transformation for image deblurring
Wenbin Zou, Mingchao Jiang, Yunchen Zhang, Liang Chen, Zhiyong Lu, Yi Wu.
ICCVW 2021
PDF | code

SDWNet uses dilated convolution to enable the obtainment of the large receptive field with high spatial resolution. Through making full use of the different receptive fields, our method can achieve better performance.

Self-calibrated efficient transformer for lightweight super-resolution
Wenbin Zou, Tian Ye, Weixin Zheng, Yunchen Zhang, Liang Chen, Yi Wu.
CVPRW 2022
PDF | code |

We present a lightweight Self-Calibrated Efficient Transformer (SCET) network to solve that existing method can entail high computational costs and memory storage.

Cross-View Hierarchy Network for Stereo Image Super-Resolution
Wenbin Zou, Hongxia Gao, Liang Chen, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan.
CVPRW 2023
PDF | code

We explore the interdependencies between various hierarchies from intra-view and propose a novel method, named Cross-View-Hierarchy Network for Stereo Image Super-Resolution (CVHSSR).

Multi-Scale Gamma Enhancement Network for Low-light Image Enhancement
Wenbin Zou, Hongxia Gao, Weipeng Yang, Shasha Huang, Hongshen Chen, Jianliang Ma
IEEE TMM Under Review
PDF | code

Joint Edge-Guided and Spectral Transformation Network for Self-supervised X-Ray Image Restoration
Shasha Huang, Wenbin Zou, Hongxia Gao, Weipeng Yang, Hongsheng Chen, Shicheng Niu, Tian Qi, Jianliang Ma.
ICANN 2023
PDF

To address the insufficient denoising of existing methods, we propose a novel self-supervised restoration method called the Joint Edge-guided and Spectral Transformation Network, which integrates edge guidance and spectral transformation techniques to restore color X-ray images.

Joint Priors-Based Restoration Method for Degraded Images Under Medium Propagation
Hongsheng Chen, Wenbin Zou, Hongxia Gao, Weipeng Yang, Shasha Huang, Jianliang Ma
PRCV, 2023
PDF

Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-Resolution
Yunxiang Li,* ,Wenbin Zou,∗, Qiaomu Wei,∗, Feng Huang ,Jing Wu
CVPRW, 2024
PDF

Enhancing Low-Light Images: A Variation-based Retinex with Modified Bilateral Total Variation and Tensor Sparse Coding
Weipeng Yang, Hongxia Gao, Wenbin Zou, Shasha Huang, Hongsheng Chen, Jianliang Ma
PG, 2023
PDF | code

Low-Light Image Enhancement via Weighted Low-Rank Tensor Regularized Retinex Model
Weipeng Yang, Hongxia Gao, Wenbin Zou,Tongtong Liu, Shasha Huang, Jianliang Ma
ICMR, 2024
PDF | code

Sequential Affinity Learning for Video Restoration
Tian Ye, SiXiang Chen, Yun Liu, Wenhao Chai, Jinbin Bai, Wenbin Zou, Yunchen Zhang, jiang mingchao, Erkang Chen, Chenghao Xue
ACM Multimedia (ACM MM), 2023
PDF | code

🎖 Competitions & Awards

  • The 1st of Citrus Flower and Fruit Shoot Semantic Segmentation Challenge Based on Visible Light Images. October 2023.
  • The 1st of Baidu Netdisk AI Competition: Beauty, freckle and acne removal. September 2023.
  • The 1st award of the China International Big Data Industry Expo:the Data Scenario Application Innovation Contest. May 2023.
  • The 8th of the NTIRE 2023 Challenge on Stereo Image Super-Resolution, Track 1. April 2023.
  • The 5th of the NTIRE 2023 Challenge on Stereo Image Super-Resolution, Track 2.
  • The 4th of the NTIRE 2023 Challenge on Stereo Image Super-Resolution, Track 3.
  • The 2nd award of “Xingzhi Cup” National Artificial Intelligence Innovation and Application Competition. February 2023.
  • The 1st of Baidu Netdisk AI Competition: Document Image Deblurring. September 2022.
  • The 6th of Baidu Netdisk AI Competition: Image Processing Challenge-Document Image Direction Recognition. September 2022.
  • The 7th of AIM 2022 Compressed Input Super-Resolution Challenge, Track 1. July 2022.
  • The 3rd of 2022 CVPR Neural Architecture Search (NAS) Track 1: Supernet Track. May 2022.
  • The 1st award of AI Innovation and Application Competition, China information and Communication Research Institute. December 2021.
  • The 12th “Challenge Cup” College Student Entrepreneur Competition, Bronze award, Ministry of Education. November 2020.

🧑‍🤝‍🧑 My Friends

💬 Academic Services

  • Conference Reviewer: ICCVW, PRCV
  • Journal Reviewer:

    IEEE Trans. on Neural Networks and Learning Systems.

    IEEE Trans. on Circuits and Systems for Video Technology

📖 Educations

  • Sep’2022-Now: Ph.D. (Electronic Information Engineering), South China University of Technology, Guangzhou, China. Supervisor: Hongxia Gao.
  • Sep’2019-Jul’2022: M.Sc. (Information and Communication Engineering), Fujian Normal University, Fuzhou, China. Supervisor: LiangChen and Yi Wu.
  • Sep’2015-Jul’2019: B.Eng (Electronic Information Engineering), Hefei Normal University, Hefei, China.