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Computer Science

D-Index
37
Citations
7955
World Ranking
10558
National Ranking
666

Overview

Hongying Meng is affiliated with Brunel University London in the United Kingdom. Their research spans the fields of Computer Science and Engineering, with a concentration on specific subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Media Technology, and Cardiology and Cardiovascular Medicine.

Their work extensively covers topics including Video Surveillance and Tracking Methods, Human Pose and Action Recognition, Advanced Neural Network Applications, Image Processing Techniques and Applications, Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, and Image and Signal Denoising Methods.

Meng has contributed papers to several prominent publication venues in the field. Frequent outlets for their work include Applied Sciences, SSRN Electronic Journal, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Circuits and Systems for Video Technology, and arXiv (Cornell University).

Selected recent publications comprise:

  • StrongSORT: Make DeepSORT Great Again, 2023, IEEE Transactions on Multimedia
  • Medical image segmentation using deep learning: A survey, 2022, IET Image Processing
  • Automatic Modulation Recognition: A Few-Shot Learning Method Based on the Capsule Network, 2020, IEEE Wireless Communications Letters
  • Multi-region Nonuniform Brightness Correction Algorithm Based on L-Channel Gamma Transform, 2022, Security and Communication Networks
  • Robust Self-Sparse Fuzzy Clustering for Image Segmentation, 2020, IEEE Access

Meng frequently collaborates with a core group of researchers, including Ioana Crețu, Tao Lei, Alexander Tindale, Qicong Wang, and Mohammad Rafiq Swash. These collaborations have resulted in multiple joint publications and contributed to the scope of Meng's research activities.

Best Publications

  • StrongSORT: Make DeepSORT Great Again

    Unknown

  • Medical image segmentation using deep learning: A survey

    Unknown

  • The 2005 PASCAL visual object classes challenge

    Mark Everingham;Andrew Zisserman;Christopher K. I. Williams;Luc Van Gool

  • Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering

    Tao Lei;Xiaohong Jia;Yanning Zhang;Lifeng He

  • Two view learning: SVM-2K, Theory and Practice

    Jason Farquhar;David Hardoon;Hongying Meng;John S. Shawe-taylor

  • Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

    Tao Lei;Xiaohong Jia;Yanning Zhang;Shigang Liu

  • Depression recognition based on dynamic facial and vocal expression features using partial least square regression

    Hongying Meng;Di Huang;Heng Wang;Hongyu Yang

  • What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?

    Yuan Gao;Nadia Bianchi-Berthouze;Hongying Meng

  • Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions

    Asim Jan;Hongying Meng;Yona Falinie Binti A. Gaus;Fan Zhang

  • The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset

    Min S. H. Aung;Sebastian Kaltwang;Bernardino Romera-Paredes;Brais Martinez

  • Improving "bag-of-keypoints" image categorisation: Generative Models and PDF-Kernels

    J Farquhar;S Szedmak;H Meng;J Shawe-Taylor

  • Automatic Fuzzy Clustering Framework for Image Segmentation

    Tao Lei;Peng Liu;Xiaohong Jia;Xuande Zhang

  • A Human Action Recognition System for Embedded Computer Vision Application

    Hongying Meng;N. Pears;C. Bailey

  • Adaptive Morphological Reconstruction for Seeded Image Segmentation

    Tao Lei;Xiaohong Jia;Tongliang Liu;Shigang Liu

  • Time-Delay Neural Network for Continuous Emotional Dimension Prediction From Facial Expression Sequences

    Hongying Meng;Nadia Bianchi-Berthouze;Yangdong Deng;Jinkuang Cheng

  • Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression

    Asim Jan;Hongying Meng;Yona Falinie A. Gaus;Fan Zhang

  • Affective State Level Recognition in Naturalistic Facial and Vocal Expressions

    Hongying Meng;Nadia Bianchi-Berthouze

  • Emotion detection from EEG recordings

    Jingxin Liu;Hongying Meng;Asoke Nandi;Maozhen Li

  • SMEConvNet: A Convolutional Neural Network for Spotting Spontaneous Facial Micro-Expression From Long Videos

    Zhihao Zhang;Tong Chen;Hongying Meng;Guangyuan Liu

  • Naturalistic affective expression classification by a multi-stage approach based on hidden Markov models

    Hongying Meng;Nadia Bianchi-Berthouze

  • A VLSI architecture of JPEG2000 encoder

    Leibo Liu;Ning Chen;Hongying Meng;Li Zhang

  • Medical Image Segmentation Using Deep Learning: A Survey.

    Tao Lei;Risheng Wang;Yong Wan;Xiaogang Du

Frequent Co-Authors

Asoke K. Nandi
Asoke K. Nandi Brunel University London
Nadia Bianchi-Berthouze
Nadia Bianchi-Berthouze University College London
Zhihua Wang
Zhihua Wang Tsinghua University
Leibo Liu
Leibo Liu Tsinghua University
John Shawe-Taylor
John Shawe-Taylor University College London
Michel Valstar
Michel Valstar University of Nottingham
Wojciech Mazurczyk
Wojciech Mazurczyk Warsaw University of Technology
Jian Song
Jian Song Tsinghua University
Qian Zhao
Qian Zhao Xi'an Jiaotong University
Tongliang Liu
Tongliang Liu University of Sydney

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