World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
8962
World Ranking
10026
National Ranking
627

Overview

Hui Yu is affiliated with the University of Portsmouth in the United Kingdom and has an extensive publication record primarily in the fields of Computer Science and Engineering. Their research contributions span several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering, and Biomedical Engineering.

Their work covers a range of main topics such as Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Video Surveillance and Tracking Methods, Face Recognition and Analysis, Domain Adaptation and Few-Shot Learning, Visual Attention and Saliency Detection, and Advanced Vision and Imaging.

Hui Yu has published numerous papers in notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Neurocomputing
  • IEEE Transactions on Intelligent Vehicles
  • SSRN Electronic Journal
  • IEEE Transactions on Circuits and Systems for Video Technology

Recent significant papers authored by Hui Yu or in collaboration include:

  • A review on the attention mechanism of deep learning, 2021, Neurocomputing
  • Deep learning for monocular depth estimation: A review, 2021, Neurocomputing
  • Deep multi-view learning methods: A review, 2021, Neurocomputing
  • Underwater image processing and analysis: A review, 2020, Signal Processing Image Communication
  • A comprehensive survey on robust image watermarking, 2022, Neurocomputing

Hui Yu frequently collaborates with other researchers. Their most common co-authors include:

  • Junyu Dong
  • Muwei Jian
  • Fei-Yue Wang
  • Rung-Ching Chen
  • Xiaoqiang Yan

Best Publications

  • A review on the attention mechanism of deep learning

    Zhaoyang Niu;Guoqiang Zhong;Hui Yu

  • Facial expressions of emotion are not culturally universal

    Rachael E. Jack;Oliver G. B. Garrod;Hui Yu;Roberto Caldara

  • Underwater image enhancement via extended multi-scale Retinex

    Shu Zhang;Ting Wang;Junyu Dong;Hui Yu

  • Deep learning for monocular depth estimation: A review

    Yue Ming;Xuyang Meng;Chunxiao Fan;Hui Yu

  • Deep multi-view learning methods: a review

    Xiaoqiang Yan;Shizhe Hu;Yiqiao Mao;Yangdong Ye

  • Underwater image processing and analysis: A review

    Muwei Jian;Muwei Jian;Muwei Jian;Xiangyu Liu;Hanjiang Luo;Xiangwei Lu

  • A hybrid spatio-temporal model for detection and severity rating of Parkinson’s Disease from gait data

    Aite Zhao;Lin Qi;Lin Qi;Jie Li;Junyu Dong

  • Gesture recognition based on binocular vision

    Du Jiang;Zujia Zheng;Gongfa Li;Ying Sun

  • An Interactive Image Segmentation Method in Hand Gesture Recognition.

    Disi Chen;Gongfa Li;Ying Sun;Jianyi Kong

  • A brief survey of visual saliency detection

    Inam Ullah;Muwei Jian;Sumaira Hussain;Jie Guo

  • Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases

    Aite Zhao;Lin Qi;Junyu Dong;Hui Yu

  • Segmentation of Lung Nodule in CT Images Based on Mask R-CNN

    Menglu Liu;Junyu Dong;Xinghui Dong;Hui Yu

  • Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling

    Christine Dewi;Christine Dewi;Rung-Ching Chen;Hui Yu;Xiaoyi Jiang

  • Deep learning for traffic sign recognition based on spatial pyramid pooling with scale analysis

    Shao-Kuo Tai;Christine Dewi;Rung-Ching Chen;Yan-Ting Liu

  • Robot-Enhanced Therapy: Development and Validation of Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy

    Hoang-Long Cao;Pablo G. Esteban;Madeleine Bartlett;Paul Baxter

  • Realistic Facial Expression Reconstruction for VR HMD Users

    Jianwen Lou;Yiming Wang;Charles Nduka;Mahyar Hamedi

  • Weight analysis for various prohibitory sign detection and recognition using deep learning

    Christine Dewi;Christine Dewi;Rung-Ching Chen;Hui Yu

  • The extended marine underwater environment database and baseline evaluations

    Muwei Jian;Muwei Jian;Qiang Qi;Hui Yu;Junyu Dong

  • Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network

    Shiming Liu;Yifan Xia;Zhusheng Shi;Hui Yu

  • Visual saliency detection by integrating spatial position prior of object with background cues

    Muwei Jian;Jing Wang;Hui Yu;Guodong Wang

  • Saliency detection based on directional patches extraction and principal local color contrast

    Muwei Jian;Wenyin Zhang;Hui Yu;Chaoran Cui

  • Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey

    Xuguang Zhang;Qinan Yu;Hui Yu

Frequent Co-Authors

Junyu Dong
Junyu Dong Ocean University of China
Honghai Liu
Honghai Liu University of Portsmouth
Gongfa Li
Gongfa Li Wuhan University of Science and Technology
Yilong Yin
Yilong Yin Shandong University
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Zhaojie Ju
Zhaojie Ju University of Portsmouth
Philippe G. Schyns
Philippe G. Schyns University of Glasgow
Tuan D. Pham
Tuan D. Pham Queen Mary University of London
Kin-Man Lam
Kin-Man Lam Hong Kong Polytechnic University
Roberto Caldara
Roberto Caldara University of Fribourg

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

Exploring online education can open up flexible and affordable options for advancing your computer science career. For budget-conscious students, considering cheap online colleges can help you earn a degree without overwhelming financial stress. Many institutions also accommodate diverse academic backgrounds, and you can find best colleges for low gpa that offer quality programs to support students who may not have a perfect academic record.

If you’re interested in combining disciplines or exploring additional career routes, there are many jobs with elementary education and environmental science degree available, including roles that blend technology with environmental problem-solving. For those eager to kickstart a tech career fast, there are also online computer science degree programs in an accelerated format, allowing you to finish your degree more quickly and enter the workforce sooner.

Whether you’re seeking affordability, flexibility, or a fast track, these pathways offer options tailored to your academic and career goals.

Best Scientists Citing Hui Yu

Trending Scientists