2026 Farid Boussaid: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10797	10497	328	327	199	5557

Overview

Farid Boussaid is affiliated with the University of Western Australia in Australia. Their research primarily spans the fields of Computer Science and Engineering, with a documented focus in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering, and Computational Mechanics.

The scientist's research contributions cover several main topics that reflect their diverse interests in advanced computational techniques and applications. These topics include:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Visual Attention and Saliency Detection
Video Surveillance and Tracking Methods
Adversarial Robustness in Machine Learning

Their recent published works highlight a concentration on deep learning and neural networks applied to image analysis, stereo-based depth estimation, and segmentation tasks. Notable papers include:

"Hands-On Bayesian Neural Networks-A Tutorial for Deep Learning Users" (2022), published in IEEE Computational Intelligence Magazine
"A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
"Multi-class Token Transformer for Weakly Supervised Semantic Segmentation" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Untrained Neural Network Priors for Inverse Imaging Problems: A Survey" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence

The venues where Farid Boussaid frequently publishes reflect their research focus, including:

arXiv (Cornell University)
IEEE Transactions on Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Remote Sensing
SSRN Electronic Journal

Collaborations play an important role in their research activities. Frequent co-authors include:

Mohammed Bennamoun
Hamid Laga
Lian Xu
Ferdous Sohel
Aref Miri Rekavandi

This profile reflects a researcher deeply engaged in advancing knowledge in computer vision and machine learning, with a strong background in neural network applications and image processing techniques. Their work contributes substantially to scientific discourse in these domains through both journal and conference publications.

Best Publications

A New Representation of Skeleton Sequences for 3D Action Recognition

Qiuhong Ke;Mohammed Bennamoun;Senjian An;Ferdous Sohel

936
Citations
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

Laurent Valentin Jospin;Wray L. Buntine;Farid Boussaïd;Hamid Laga

748
Citations
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

Unknown

346
Citations
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation

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

293
Citations
Learning Clip Representations for Skeleton-Based 3D Action Recognition

Qiuhong Ke;Mohammed Bennamoun;Senjian An;Ferdous Sohel

264
Citations
SkeletonNet: Mining Deep Part Features for 3-D Action Recognition

Qiuhong Ke;Senjian An;Mohammed Bennamoun;Ferdous Sohel

190
Citations
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation

Lian Xu;Wanli Ouyang;Mohammed Bennamoun;Farid Boussaid

164
Citations
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation

Lian Xu;Wanli Ouyang;Mohammed Bennamoun;Farid Boussaid

163
Citations
A Highly Efficient P-SSHI Rectifier for Piezoelectric Energy Harvesting

Shaohua Lu;Farid Boussaid

139
Citations
Liquid-crystal micropolarimeter array for full Stokes polarization imaging in visible spectrum

Xiaojin Zhao;Amine Bermak;Farid Boussaid;Vladimir G. Chigrinov

137
Citations
Ultra-Low-Power Smart Electronic Nose System Based on Three-Dimensional Tin Oxide Nanotube Arrays.

Jiaqi Chen;Zhuo Chen;Farid Boussaid;Daquan Zhang

124
Citations
A CMOS Single-Chip Gas Recognition Circuit for Metal Oxide Gas Sensor Arrays

Kwan Ting Ng;F. Boussaid;A. Bermak

115
Citations
Thin Photo-Patterned Micropolarizer Array for CMOS Image Sensors

Xiaojin Zhao;F. Boussaid;A. Bermak;V.G. Chigrinov

108
Citations
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey

Unknown

104
Citations
Coral classification with hybrid feature representations

A. Mahmood;M. Bennamoun;S. An;F. Sohel

100
Citations
Iterative deep learning for image set based face and object recognition

Syed Afaq Ali Shah;Mohammed Bennamoun;Farid Boussaid

83
Citations
High-resolution thin “guest-host” micropolarizer arrays for visible imaging polarimetry

Xiaojin Zhao;Farid Boussaid;Amine Bermak;Vladimir G. Chigrinov

82
Citations
Deep Image Representations for Coral Image Classification

Ammar Mahmood;Mohammed Bennamoun;Senjian An;Ferdous A. Sohel

80
Citations
A Curvelet-based approach for textured 3D face recognition

S. Elaiwat;M. Bennamoun;F. Boussaid;A. El-Sallam

79
Citations
Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person Re-Identification

Unknown

79
Citations
3-D Face Recognition Using Curvelet Local Features

S. Elaiwat;M. Bennamoun;F. Boussaid;A. El-Sallam

71
Citations
A spatio-temporal RBM-based model for facial expression recognition

S. Elaiwat;M. Bennamoun;F. Boussaid

71
Citations
Computer Vision for Human-Machine Interaction

Qiuhong Ke;Jun Liu;Mohammed Bennamoun;Senjian An

66
Citations
Learning Latent Global Network for Skeleton-Based Action Prediction

Qiuhong Ke;Mohammed Bennamoun;Hossein Rahmani;Senjian An

49
Citations
Keypoints-based surface representation for 3D modeling and 3D object recognition

Syed Afaq Ali Shah;Mohammed Bennamoun;Farid Boussaid

44
Citations

Frequent Co-Authors

Amine Bermak Hamad bin Khalifa University

Mohammed Bennamoun University of Western Australia

Ferdous Sohel Murdoch University

Abdesselam Bouzerdoum Hamad bin Khalifa University

Robert B. Fisher University of Edinburgh

Chi-Ying Tsui Hong Kong University of Science and Technology

Vladimir G. Chigrinov Hong Kong University of Science and Technology

Zhiyong Fan Hong Kong University of Science and Technology

Lorenzo Faraone University of Western Australia

Wanli Ouyang Shanghai AI Lab

External Links

Personal website of Farid Boussaid

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