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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
68
Citations
18483
World Ranking
2087
National Ranking
65

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

Ajmal Mian is affiliated with the University of Western Australia in Australia and has made significant contributions to the field of computer science. Their research spans a wide range of topics within the discipline, with a strong focus on computer vision, artificial intelligence, and computational mechanics.

Their recent publications include the following papers:

  • "A Comprehensive Overview of Large Language Models," 2023, arXiv (Cornell University)
  • "Fish detection and species classification in underwater environments using deep learning with temporal information," 2020, Ecological Informatics
  • "Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing," 2022, Knowledge-Based Systems
  • "Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Point attention network for semantic segmentation of 3D point clouds," 2020, Pattern Recognition

Mian's work is frequently published in venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Access
  • Sensors
  • IEEE Transactions on Neural Networks and Learning Systems

Key co-authors who have collaborated extensively with Mian include:

  • Naveed Akhtar
  • Mingtao Feng
  • Yaonan Wang
  • Mubarak Shah
  • Saeed Anwar

The main field of study for Mian is computer science, with areas of specialization in:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mechanics
  • Geology
  • Environmental Engineering

Their research covers a variety of specific topics, including:

  • Advanced Neural Network Applications
  • 3D Shape Modeling and Analysis
  • Adversarial Robustness in Machine Learning
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • 3D Surveying and Cultural Heritage
  • Multimodal Machine Learning Applications

Best Publications

  • Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

    Naveed Akhtar;Ajmal Mian

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

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

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

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

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

    A. Mian;M. Bennamoun;R. Owens

  • A Comprehensive Overview of Large Language Models

    Unknown

  • Deep Affinity Network for Multiple Object Tracking

    ShiJie Sun;Naveed Akhtar;HuanSheng Song;Ajmal Mian

  • Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing

    Unknown

  • Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution

    Naveed Akhtar;Faisal Shafait;Ajmal S. Mian

  • Bayesian sparse representation for hyperspectral image super resolution

    Naveed Akhtar;Faisal Shafait;Ajmal Mian

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

    Ajmal S. Mian;Mohammed Bennamoun;Robyn Owens

  • Using Kinect for face recognition under varying poses, expressions, illumination and disguise

    B. Y. L. Li;A. S. Mian;Wanquan Liu;A. Krishna

  • Sparse approximated nearest points for image set classification

    Yiqun Hu;Ajmal S. Mian;Robyn Owens

  • Fish detection and species classification in underwater environments using deep learning with temporal information

    Ahsan Jalal;Ahmad Salman;Ajmal Mian;Mark Shortis

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

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

  • Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

    Shoaib Ahmed Siddiqui;Ahmad Salman;Muhammad Imran Malik;Faisal Shafait

  • Learning a Deep Model for Human Action Recognition from Novel Viewpoints

    Hossein Rahmani;Ajmal Mian;Mubarak Shah

  • Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning

    Nayyer Aafaq;Naveed Akhtar;Wei Liu;Syed Zulqarnain Gilani

  • Fish species classification in unconstrained underwater environments based on deep learning

    Ahmad Salman;Ahsan Jalal;Faisal Shafait;Ajmal Mian

  • Defense Against Universal Adversarial Perturbations

    Naveed Akhtar;Jian Liu;Ajmal Mian

  • Face Recognition Using Sparse Approximated Nearest Points between Image Sets

    Yiqun Hu;Ajmal S. Mian;Robyn Owens

  • HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition

    Hossein Rahmani;Arif Mahmood;Du Q. Huynh;Ajmal S. Mian

  • Histogram of Oriented Principal Components for Cross-View Action Recognition

    Hossein Rahmani;Arif Mahmood;Du Huynh;Ajmal Mian

Frequent Co-Authors

Faisal Shafait
Faisal Shafait National University of Sciences and Technology
Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Robyn Owens
Robyn Owens University of Western Australia
Wei Liu
Wei Liu Tencent (China)
Mubarak Shah
Mubarak Shah University of Central Florida
Mark R. Shortis
Mark R. Shortis RMIT University
Andrew J. O. Whitehouse
Andrew J. O. Whitehouse Telethon Kids Institute
Yaonan Wang
Yaonan Wang Hunan University
Murray T. Maybery
Murray T. Maybery University of Western Australia
Syed Islam
Syed Islam Federation University Australia

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