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Computer Science

D-Index
60
Citations
12514
World Ranking
3280
National Ranking
91

Overview

Clinton Fookes is affiliated with the Queensland University of Technology in Australia. Their research expertise centers primarily on computer science, with a focus on subfields such as computer vision and pattern recognition, artificial intelligence, aerospace engineering, radiology, nuclear medicine and imaging, and cognitive neuroscience.

The scientist's work spans multiple main topics including advanced neural network applications, video surveillance and tracking methods, human pose and action recognition, advanced image and video retrieval techniques, domain adaptation and few-shot learning, face recognition and analysis, and robotics and sensor-based localization.

Notable recent publications by Clinton Fookes include:

  • Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020), published in JAMA Network Open
  • Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future (2021), published in Sensors
  • Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals (2021), published in IEEE Sensors Journal
  • A survey on graph-based deep learning for computational histopathology (2021), published in Computerized Medical Imaging and Graphics
  • Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals (2021), published in IEEE Journal of Biomedical and Health Informatics

Frequent coauthors collaborating with Clinton Fookes include Sridha Sridharan, Simon Denman, Tharindu Fernando, Kien Nguyen, and Peyman Moghadam.

Publication venues where Clinton Fookes has frequently appeared include:

  • arXiv (Cornell University)
  • Pattern Recognition
  • ACM Computing Surveys
  • Computer Vision and Image Understanding
  • IEEE Sensors Journal

Best Publications

  • Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

    Thomas Schaffter;Diana S. M. Buist;Christoph I. Lee;Yaroslav Nikulin

  • Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection.

    Tharindu Fernando;Simon Denman;Sridha Sridharan;Clinton Fookes

  • Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective

    Kien Nguyen;Clinton Fookes;Arun Ross;Sridha Sridharan

  • Crowd Counting Using Multiple Local Features

    David Ryan;Simon Denman;Clinton Fookes;Sridha Sridharan

  • Bayesian neural networks: An introduction and survey

    Ethan Goan;Clinton Fookes

  • Deep Learning for Medical Anomaly Detection – A Survey

    Tharindu Fernando;Harshala Gammulle;Simon Denman;Sridha Sridharan

  • Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

    David Ahmedt-Aristizabal;David Ahmedt-Aristizabal;Mohammad Ali Armin;Simon Denman;Clinton Fookes

  • Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition

    Harshala Gammulle;Simon Denman;Sridha Sridharan;Clinton Fookes

  • Long range iris recognition

    Kien Nguyen;Clinton Fookes;Raghavender Jillela;Sridha Sridharan

  • Gait energy volumes and frontal gait recognition using depth images

    Sabesan Sivapalan;Daniel Chen;Simon Denman;Sridha Sridharan

  • A Mask-Based Approach for the Geometric Calibration of Thermal-Infrared Cameras

    S. Vidas;R. Lakemond;S. Denman;C. Fookes

  • A Database for Person Re-Identification in Multi-Camera Surveillance Networks

    Alina Bialkowski;Simon Denman;Sridha Sridharan;Clinton Fookes

  • An evaluation of crowd counting methods, features and regression models

    David Ryan;Simon Denman;Sridha Sridharan;Clinton Fookes

  • Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals

    Theekshana Dissanayake;Tharindu Fernando;Simon Denman;Sridha Sridharan

  • Heart Sound Segmentation Using Bidirectional LSTMs With Attention

    Tharindu Fernando;Houman Ghaemmaghami;Simon Denman;Sridha Sridharan

  • Correlation-aware adversarial domain adaptation and generalization

    Mohammad Mahfujur Rahman;Clinton Fookes;Mahsa Baktashmotlagh;Sridha Sridharan

  • Textures of optical flow for real-time anomaly detection in crowds

    David Ryan;Simon Denman;Clinton Fookes;Sridha Sridharan

  • Design and development of automatic visual inspection system for PCB manufacturing

    N. S. S. Mar;P. K. D. V. Yarlagadda;C. Fookes

  • Super-resolution for biometrics: A comprehensive survey

    Kien Nguyen;Clinton Fookes;Sridha Sridharan;Massimo Tistarelli

  • Liveness detection based on 3D face shape analysis

    A. Lagorio;M. Tistarelli;M. Cadoni;C. Fookes

  • Fruit Quantity and Ripeness Estimation Using a Robotic Vision System

    Michael Halstead;Christopher McCool;Simon Denman;Tristan Perez

  • Image2Mesh: A learning framework for single image 3D reconstruction

    Jhony Kaesemodel Pontes;Chen Kong;Sridha Sridharan;Simon Lucey

Frequent Co-Authors

Sridha Sridharan
Sridha Sridharan Queensland University of Technology
Simon Denman
Simon Denman Queensland University of Technology
Prasad Yarlagadda
Prasad Yarlagadda Queensland University of Technology
Vinod Chandran
Vinod Chandran Queensland University of Technology
Simon Lucey
Simon Lucey University of Adelaide
Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Patrick Lucey
Patrick Lucey Stats Perform
Massimo Tistarelli
Massimo Tistarelli University of Sassari
Olivier Salvado
Olivier Salvado Commonwealth Scientific and Industrial Research Organisation
Lars Petersson
Lars Petersson Commonwealth Scientific and Industrial Research Organisation

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