Simon Denman

Associate Professor, Faculty of Engineering, Queensland University of Technology

Joined

July 2019

Names

Simon Denman

Emails

****@qut.edu.au (Confirmed)

Personal Links

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DBLP

ORCID

Career & Education History

Associate Professor

Faculty of Engineering, Queensland University of Technology (qut.edu.au)

2024 – Present

Lecturer

Faculty of Engineering, Queensland University of Technology (qut.edu.au)

2019 – 2024

PhD student

Faculty of Engineering, Queensland University of Technology (qut.edu.au)

2004 – 2008

Advisors, Relations & Conflicts

No relations added

Expertise

deep learning

action recognition

event recognition

machine learning for medical applications

2018 – 2024

crowd counting

object tracking

gait recognition

2013 – 2018

Publications

Unlocking solar potential through machine learning techniques for roof geometry prediction- A review
Dina Shata, Sara Omrani, Robin Drogemuller, Simon Denman, Ayman Wagdy
- Solar Energy
- Readers: Everyone
Weakly labelled spatial-temporal sweet pepper data: Enabling higher quality detection, segmentation, and tracking.
Esra Guclu, Michael Halstead, Simon Denman, Chris McCool
- The International Journal of Robotics Research
- Readers: Everyone
New Bayesian and deep learning spatio-temporal models can reveal anomalies in sensor data more effectively
Edgar Santos-Fernandez, Simon Denman, Kerrie Mengersen
- Water Research
- Readers: Everyone
Remembering What is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
Tharindu Fernando, Harshala Gammulle, Sridha Sridharan, Simon Denman, Clinton Fookes
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Readers: Everyone
DConv-LSTM-Net: A Novel Architecture for Single- and 12-Lead ECG Anomaly Detection
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
- IEEE Sensors Journal
- Readers: Everyone
Toward On-Board Panoptic Segmentation of Multispectral Satellite Images
Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan
- IEEE Transactions on Geoscience and Remote Sensing
- Readers: Everyone
Continuous Human Action Recognition for Human-machine Interaction: A Review
Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes
- ACM Computing Surveys
- Readers: Everyone
Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
- Pattern Recognition
- Readers: Everyone
Pose-driven attention-guided image generation for person re-Identification
Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes
- Pattern Recognition
- Readers: Everyone
Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
- IEEE Journal of Biomedical and Health Informatics
- Readers: Everyone

View all 50 publications

Co-Authors

View all 58 co-authors