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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
75
Citations
29152
World Ranking
1387
National Ranking
38

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Mohammed Bennamoun is affiliated with the University of Western Australia in Australia. Their research portfolio spans extensively within the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, and Computational Mechanics.

Their work addresses a range of main topics including Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Advanced Vision and Imaging, Domain Adaptation and Few-Shot Learning, and Video Surveillance and Tracking Methods.

Bennamoun has contributed to several recent publications, including:

  • Deep Learning for 3D Point Clouds: A Survey (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Hands-On Bayesian Neural Networks-A Tutorial for Deep Learning Users (2022), published in IEEE Computational Intelligence Magazine
  • Human Action Recognition From Various Data Modalities: A Review (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Training Spiking Neural Networks Using Lessons From Deep Learning (2023), published in Proceedings of the IEEE
  • A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent co-authors include Farid Boussaïd, Ferdous Sohel, Syed Afaq Ali Shah, Girish Dwivedi, and Hamid Laga.

The scientist has published predominantly in the following venues:

  • arXiv (Cornell University)
  • Neurocomputing
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Access

Best Publications

  • Deep Learning for 3D Point Clouds: A Survey

    Yulan Guo;Hanyun Wang;Qingyong Hu;Hao Liu

  • Linear Regression for Face Recognition

    Imran Naseem;Roberto Togneri;Mohammed Bennamoun

  • Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

    Salman H. Khan;Munawar Hayat;Mohammed Bennamoun;Ferdous A. Sohel

  • A New Representation of Skeleton Sequences for 3D Action Recognition

    Qiuhong Ke;Mohammed Bennamoun;Senjian An;Ferdous Sohel

  • Rotational Projection Statistics for 3D Local Surface Description and Object Recognition

    Yulan Guo;Yulan Guo;Ferdous Ahmed Sohel;Mohammed Bennamoun;Min Lu

  • Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes

    A.S. Mian;M. Bennamoun;R. Owens

  • 3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey

    Yulan Guo;Mohammed Bennamoun;Ferdous Ahmed Sohel;Min Lu

  • An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition

    A.S. Mian;M. Bennamoun;R. Owens

  • A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

    Yulan Guo;Mohammed Bennamoun;Ferdous Sohel;Min Lu

  • Training Spiking Neural Networks Using Lessons From Deep Learning.

    Jason Kamran Eshraghian;Max Ward;Emre Neftci;Xinxin Wang

  • Ontology learning from text: A look back and into the future

    Wilson Wong;Wei Liu;Mohammed Bennamoun

  • A Guide to Convolutional Neural Networks for Computer Vision

    Salman Khan;Hossein Rahmani;Syed Afaq Ali Shah;Mohammed Bennamoun

  • On the Repeatability and Quality of Keypoints for Local Feature-based 3D Object Retrieval from Cluttered Scenes

    A. Mian;M. Bennamoun;R. Owens

  • Trends in Computer-Aided Manufacturing in Prosthodontics: A Review of the Available Streams

    Jaafar Abduo;Karl Lyons;Mohammed Bennamoun

  • Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

    Xian-Feng Han;Hamid Laga;Mohammed Bennamoun

  • Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

    Unknown

  • Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition

    Ajmal S. Mian;Mohammed Bennamoun;Robyn Owens

  • A Survey on Deep Learning Techniques for Stereo-based Depth Estimation

    Hamid Laga;Laurent Valentin Jospin;Farid Boussaid;Mohammed Bennamoun

  • Automatic Shadow Detection and Removal from a Single Image

    Salman H. Khan;Mohammed Bennamoun;Ferdous Sohel;Roberto Togneri

  • A Novel Representation and Feature Matching Algorithm for Automatic Pairwise Registration of Range Images

    A. S. Mian;M. Bennamoun;R. A. Owens

  • Learning Clip Representations for Skeleton-Based 3D Action Recognition

    Qiuhong Ke;Mohammed Bennamoun;Senjian An;Ferdous Sohel

  • Optimal Gabor filters for textile flaw detection

    Adriana Bodnarova;Mohammed Bennamoun;Shane J. Latham

Frequent Co-Authors

Ferdous Sohel
Ferdous Sohel Murdoch University
Roberto Togneri
Roberto Togneri University of Western Australia
Farid Boussaid
Farid Boussaid University of Western Australia
Ajmal Mian
Ajmal Mian University of Western Australia
Robyn Owens
Robyn Owens University of Western Australia
Yulan Guo
Yulan Guo Sun Yat-sen University
Peter Corke
Peter Corke Queensland University of Technology
Munawar Hayat
Munawar Hayat Monash University
Syed Islam
Syed Islam Federation University Australia
Clinton Fookes
Clinton Fookes Queensland University of Technology

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