World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
14648
World Ranking
7019
National Ranking
937

Overview

Wenqi Ren is affiliated with Sun Yat-sen University in China and has a research focus within the fields of Computer Science and Engineering. Their scientific contributions predominantly lie in subfields such as Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Safety, Risk, Reliability and Quality, and Aerospace Engineering.

Their scholarly output comprises 359 publications in Computer Science and 92 in Engineering, reflecting a broad engagement with topics related to image and video analysis. The main topics addressed in their work include:

  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Image and Signal Denoising Methods
  • Video Surveillance and Tracking Methods
  • Advanced Image Fusion Techniques
  • Image Processing Techniques and Applications

Wenqi Ren has published frequently in venues such as:

  • arXiv (Cornell University) with 48 publications
  • IEEE Transactions on Image Processing with 21 publications
  • IEEE Transactions on Circuits and Systems for Video Technology with 10 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 10 publications
  • International Journal of Computer Vision with 7 publications

Among their recent papers are:

  • "Image Dehazing Transformer with Transmission-Aware 3D Position Embedding", 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deep Image Deblurring: A Survey", 2022, International Journal of Computer Vision
  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study", 2020, IEEE Transactions on Image Processing
  • "IDE: Image Dehazing and Exposure Using an Enhanced Atmospheric Scattering Model", 2021, IEEE Transactions on Image Processing
  • "A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancement", 2022, IEEE Transactions on Circuits and Systems for Video Technology

Wenqi Ren has collaborated extensively with several frequent coauthors, including:

  • Xiaochun Cao
  • Kaihao Zhang
  • Wenhan Luo
  • Hongdong Li
  • Yuning Cui

Best Publications

  • Benchmarking Single-Image Dehazing and Beyond

    Boyi Li;Wenqi Ren;Dengpan Fu;Dacheng Tao

  • Single Image Dehazing via Multi-scale Convolutional Neural Networks

    Wenqi Ren;Wenqi Ren;Si Liu;Hua Zhang;Jinshan Pan

  • An Underwater Image Enhancement Benchmark Dataset and Beyond

    Chongyi Li;Chunle Guo;Wenqi Ren;Runmin Cong

  • Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

    Chongyi Li;Saeed Anwar;Junhui Hou;Runmin Cong

  • Gated Fusion Network for Single Image Dehazing

    Wenqi Ren;Lin Ma;Jiawei Zhang;Jinshan Pan

  • Single Image Super-Resolution via a Holistic Attention Network

    Ben Niu;Weilei Wen;Wenqi Ren;Xiangde Zhang

  • Low-Light Image Enhancement via a Deep Hybrid Network

    Wenqi Ren;Sifei Liu;Lin Ma;Qianqian Xu

  • Domain Adaptation for Image Dehazing

    Yuanjie Shao;Lerenhan Li;Wenqi Ren;Changxin Gao

  • Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges

    Wenqi Ren;Wenqi Ren;Jinshan Pan;Hua Zhang;Xiaochun Cao

  • Image Deblurring via Extreme Channels Prior

    Yanyang Yan;Wenqi Ren;Yuanfang Guo;Rui Wang

  • Single Image Deraining: A Comprehensive Benchmark Analysis

    Siyuan Li;Xiaochun Cao;Iago Breno Araujo;Wenqi Ren

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Image Deblurring via Enhanced Low-Rank Prior

    Wenqi Ren;Xiaochun Cao;Jinshan Pan;Xiaojie Guo

  • Semi-Supervised Image Dehazing

    Lerenhan Li;Yunlong Dong;Wenqi Ren;Jinshan Pan

  • Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning

    Zhuoran Zheng;Wenqi Ren;Xiaochun Cao;Xiaobin Hu

  • IDE: Image Dehazing and Exposure Using an Enhanced Atmospheric Scattering Model

    Mingye Ju;Can Ding;Wenqi Ren;Yi Yang

  • Deep Video Dehazing With Semantic Segmentation

    Wenqi Ren;Jingang Zhang;Xiangyu Xu;Lin Ma

  • SketchNet: Sketch Classification with Web Images

    Hua Zhang;Si Liu;Changqing Zhang;Wenqi Ren

  • Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework.

    Kaihao Zhang;Dongxu Li;Wenhan Luo;Wen-Yan Lin

  • Video Deblurring via Semantic Segmentation and Pixel-Wise Non-linear Kernel

    Wenqi Ren;Wenqi Ren;Jinshan Pan;Xiaochun Cao;Ming-Hsuan Yang

  • RESIDE: A Benchmark for Single Image Dehazing.

    Boyi Li;Wenqi Ren;Dengpan Fu;Dacheng Tao

Frequent Co-Authors

Xiaochun Cao
Xiaochun Cao Sun Yat-sen University
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Wei Liu
Wei Liu Tencent (China)
Dacheng Tao
Dacheng Tao Nanyang Technological University
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Hongdong Li
Hongdong Li Australian National University
Xiaojie Guo
Xiaojie Guo Tianjin University
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Runmin Cong
Runmin Cong Shandong University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

When considering a degree in Computer Science, there are several flexible options to fit your circumstances. Many students explore cheap online colleges to find programs that balance quality and affordability. This can help reduce student debt while still providing access to top-tier education and resources.

If you are concerned about previous academic performance, there are college with low gpa options that make it easier for students with lower GPAs to gain admission. These institutions offer supportive learning environments and tailored resources to help you succeed.

For those seeking to accelerate their career, pursuing a accelerated computer science degree may be an ideal path. These intensive programs allow motivated individuals to complete their studies in a shorter timeframe and quickly enter the tech workforce.

Computer Science majors also have the flexibility to explore interdisciplinary fields. For example, graduates may pursue jobs for environmental science majors that combine technology and sustainability. This versatility opens doors to a range of career pathways in various industries.

Best Scientists Citing Wenqi Ren

Trending Scientists

Recently Published Articles