QUT | Staff Profiles | Simon Denman

Name: Dr Simon Denman
Position(s): Senior Lecturer
Faculty of Engineering,
School of Electrical Engineering & Robotics
Discipline *: Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
Phone: +61 7 3138 9329
Email: s.denman@qut.edu.au
Location: View location details (QUT staff and student access only)
Identifiers and profiles
Qualifications: PhD (Queensland University of Technology), Bachelor of Information Technology (Queensland University of Technology), Bachelor of Engineering (Electronics) (Queensland University of Technology)
Keywords: Machine Learning, Computer Vision, Signal Processing, Deep Learning

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

2020-2021, CAb420 (Machine Learning), Lecturer and Unit Coordinator

2019-2021, ENN543 (Data Analytics and Optimisation), Lecturer and Unit Coordinator

2017-2019, EGH404 (Research in Engineering Practice), Lecturer

This information has been contributed by Dr Simon Denman.

Fernando T, Fookes C, Denman S, Sridharan S, (2021) Detection of Fake and Fraudulent Faces via Neural Memory Networks, IEEE Transactions on Information Forensics and Security p1973-1988
Gammulle H, Denman S, Sridharan S, Fookes C, (2020) Fine-grained action segmentation using the semi-supervised action GAN, Pattern Recognition
Gammulle H, Denman S, Sridharan S, Fookes C, (2020) Hierarchical Attention Network for Action Segmentation, Pattern Recognition Letters p442-448
Khatun A, Denman S, Sridharan S, Fookes C, (2020) Joint identification–verification for person re-identification: A four stream deep learning approach with improved quartet loss function, Computer Vision and Image Understanding
Fernando T, Denman S, Ahmedt-Aristizabal D, Sridharan S, Laurens K, Johnston P, Fookes C, (2020) Neural memory plasticity for medical anomaly detection, Neural Networks p67-81
Zeng R, Ge Z, Denman S, Sridharan S, Fookes C, (2020) Geometry-constrained car recognition using a 3D perspective network, Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence p1161-1168
Gammulle P, Denman S, Sridharan S, Fookes C, (2019) Forecasting Future Action Sequences with Neural Memory Networks, Proceedings of the 30th British Machine Vision Conference 2019, BMVC 201 p1-12
Warnakulasuriya T, Denman S, Sridharan S, Fookes C, (2018) Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection, Neural Networks p466-478
Ryan D, Denman S, Sridharan S, Fookes C, (2015) An evaluation of crowd counting methods, features and regression models, Computer Vision and Image Understanding p1-17
Denman S, Halstead M, Fookes C, Sridharan S, (2015) Searching for people using semantic soft biometric descriptions, Pattern Recognition Letters p306-315

For more publications by this staff member, visit QUT ePrints, the University's research repository.

Dr Simon Denman

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