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D-Index & Metrics

Computer Science

D-Index
47
Citations
7579
World Ranking
6578
National Ranking
208

Overview

Simon Denman is affiliated with the Queensland University of Technology in Australia and specializes primarily in the field of Computer Science. Their scholarly contributions encompass 136 publications, with notable emphasis on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, and Pulmonary and Respiratory Medicine.

The research topics most frequently addressed by Simon Denman include:

  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • EEG and Brain-Computer Interfaces
  • Advanced Neural Network Applications
  • Face Recognition and Analysis
  • Phonocardiography and Auscultation Techniques
  • Advanced Image and Video Retrieval Techniques

Simon Denman has contributed to a number of recent academic papers, illustrating a focus on deep learning and its applications in medical diagnosis, brain signals, and computational histopathology. Selected works include:

  • "Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future," 2021, Sensors
  • "Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals," 2021, IEEE Sensors Journal
  • "A survey on graph-based deep learning for computational histopathology," 2021, Computerized Medical Imaging and Graphics
  • "Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals," 2021, IEEE Journal of Biomedical and Health Informatics
  • "A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation," 2020, IEEE Journal of Biomedical and Health Informatics

The venues where Simon Denman frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Journal of Biomedical and Health Informatics
  • Pattern Recognition
  • Computer Vision and Image Understanding
  • IEEE Sensors Journal

Simon Denman's work is often conducted in collaboration with multiple co-authors, with the most frequent collaborators being:

  • Clinton Fookes
  • Sridha Sridharan
  • Tharindu Fernando
  • David Ahmedt-Aristizabal
  • Harshala Gammulle

Best Publications

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

    Tharindu Fernando;Simon Denman;Sridha Sridharan;Clinton Fookes

  • Crowd Counting Using Multiple Local Features

    David Ryan;Simon Denman;Clinton Fookes;Sridha Sridharan

  • 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

  • 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

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

    David Ryan;Simon Denman;Clinton Fookes;Sridha Sridharan

  • An adaptive optical flow technique for person tracking systems

    Simon Denman;Vinod Chandran;Sridha Sridharan

  • Geometric Deep Learning for Subject-Independent Epileptic Seizure Prediction using Scalp EEG Signals.

    Theekshana Dissanayake;Tharindu Fernando;Simon Denman;Sridha Sridharan

  • Fruit Quantity and Ripeness Estimation Using a Robotic Vision System

    Michael Halstead;Christopher McCool;Simon Denman;Tristan Perez

  • Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking

    Simon Denman;Clinton Fookes;Sridha Sridharan

  • A Survey on Graph-Based Deep Learning for Computational Histopathology

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

  • Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses

    David Ahmedt-Aristizabal;Tharindu Fernando;Simon Denman;Jonathan Edward Robinson

  • A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation

    Theekshana Dissanayake;Tharindu Fernando;Simon Denman;Sridha Sridharan

  • Automated detection of koalas using low-level aerial surveillance and machine learning

    Evangeline Corcoran;Simon Denman;Jon Hanger;Bree Wilson

  • Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment

    Simon Denman;Clinton Fookes;Alina Bialkowski;Sridha Sridharan

  • Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks

    Iman Abbasnejad;Sridha Sridharan;Dung Nguyen;Simon Denman

  • Predicting the Future: A Jointly Learnt Model for Action Anticipation

    Harshala Gammulle;Simon Denman;Sridha Sridharan;Clinton Fookes

Frequent Co-Authors

Clinton Fookes
Clinton Fookes Queensland University of Technology
Sridha Sridharan
Sridha Sridharan Queensland University of Technology
Vinod Chandran
Vinod Chandran Queensland University of Technology
Lars Petersson
Lars Petersson Commonwealth Scientific and Industrial Research Organisation
Simon Lucey
Simon Lucey University of Adelaide
Patrick Lucey
Patrick Lucey Stats Perform
Kristin R. Laurens
Kristin R. Laurens Queensland University of Technology
Tristan Perez
Tristan Perez Queensland University of Technology
Michael Breakspear
Michael Breakspear University of Newcastle Australia
Yingli Tian
Yingli Tian City University of New York

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