Simon Denman

6.1k citations

169 papers · 3.7k indexed · h-index 33

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Signal Processing top 2%

Papers in ⓘ

Computer Vision and Pattern Recognition 109
- Video Surveillance and Tracking Methods 64
- Human Pose and Action Recognition 41
- Advanced Image and Video Retrieval Techniques 17
- Advanced Vision and Imaging 13
- Face recognition and analysis 13
Artificial Intelligence 57
- Anomaly Detection Techniques and Applications 37

Co-authors: Clinton Fookes (148 shared papers)Sridha Sridharan (133 shared papers)Tharindu Fernando (33 shared papers)David Ryan (13 shared papers)David Ahmedt‐Aristizabal (21 shared papers)Harshala Gammulle (9 shared papers)Kien Nguyen (14 shared papers)Theekshana Dissanayake (7 shared papers)
Journals: Computer Vision and Image Understanding (6 papers)IEEE Journal of Biomedical and Health Informatics (5 papers)Pattern Recognition Letters (5 papers)Pattern Recognition (5 papers)Epilepsy & Behavior (3 papers)
Partner nations: Australia United States Germany

In The Last Decade

Simon Denman

158 papers receiving 3.6k citations

Peers

Replace Clinton Fookes with:

Clinton Fookes Australia

Matteo Matteucci Italy

Massimo Piccardi Australia

Antoni B. Chan Hong Kong

Aurobinda Routray India

Edward Jones Ireland

Jiquan Ngiam United States

Alexandre Bernardino Portugal

Lyudmila Mihaylova United Kingdom

Jasper Uijlings Italy

Simon Denman relative to Clinton Fookes Australia Clinton Fookes's profile →

Citations per field

00.5×1.5×

Clinton Fookes · 1×

×0.6 2k/3k

CVPR

×0.4 414/1k

SP

×0.8 1k/2k

AI

×0.8 550/656

CN

×0.6 141/221

HI

Citations per year

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Countries citing papers authored by Simon Denman

Since Specialization

Citations

This map shows the geographic impact of Simon Denman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Denman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Denman more than expected).

Fields of papers citing papers by Simon Denman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Denman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Denman. The network helps show where Simon Denman may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Denman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Denman Line = papers co-authored together Simon Denman links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection Neural Networks ·Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	2018	256
2	Crowd Counting Using Multiple Local Features David Ryan, Simon Denman, Clinton Fookes, Sridha Sridharan	2009	207
3	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future Sensors ·David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson	2021	131
4	Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition QUT ePrints (Queensland University of Technology) ·Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes	2017	123
5	Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals IEEE Sensors Journal ·Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	2021	119
6	Gait energy volumes and frontal gait recognition using depth images Sabesan Sivapalan, Daniel Chen, Simon Denman, Sridha Sridharan, Clinton Fookes	2011	106
7	An evaluation of crowd counting methods, features and regression models Computer Vision and Image Understanding ·David Ryan, Simon Denman, Sridha Sridharan, Clinton Fookes	2014	99
8	Fruit Quantity and Ripeness Estimation Using a Robotic Vision System IEEE Robotics and Automation Letters ·Michael Halstead, Chris McCool, Simon Denman, Tristán Pérez, Clinton Fookes	2018	97
9	A Database for Person Re-Identification in Multi-Camera Surveillance Networks Alina Bialkowski, Simon Denman, Sridha Sridharan, Clinton Fookes, Patrick Lucey	2012	86
10	Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals IEEE Journal of Biomedical and Health Informatics ·Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	2021	80
11	A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation IEEE Journal of Biomedical and Health Informatics ·Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes	2020	69
12	Automated detection of koalas using low-level aerial surveillance and machine learning Scientific Reports ·Evangeline Corcoran, Simon Denman, Jon Hanger, B. D. Wilson, Grant Hamilton	2019	68
13	A survey on graph-based deep learning for computational histopathology Computerized Medical Imaging and Graphics ·David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson	2021	66
14	Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses IEEE Journal of Biomedical and Health Informatics ·David Ahmedt‐Aristizabal, Tharindu Fernando, Simon Denman, Jonathan Robinson, Sridha Sridharan, Patrick Johnston, Kristin R. Laurens, Clinton Fookes	2020	63
15	Heart Sound Segmentation using Bidirectional LSTMs with Attention QUT ePrints (Queensland University of Technology) ·Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes	2020	60
16	Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion IEEE Signal Processing Magazine ·Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	2020	57
17	Attention Driven Fusion for Multi-Modal Emotion Recognition QUT ePrints (Queensland University of Technology) ·Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	2020	53
18	Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks Iman Abbasnejad, Sridha Sridharan, Dung Nguyen, Simon Denman, Clinton Fookes, Simon Lucey	2017	52
19	Score-Level Multibiometric Fusion Based on Dempster–Shafer Theory Incorporating Uncertainty Factors IEEE Transactions on Human-Machine Systems ·Kien Nguyen, Simon Denman, Sridha Sridharan, Clinton Fookes	2014	50
20	Predicting the Future: A Jointly Learnt Model for Action Anticipation Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes	2019	48

About Simon Denman

Simon Denman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Cognitive Neuroscience and Biomedical Engineering, having authored 169 papers that have together received 3.7k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (64 papers), Human Pose and Action Recognition (41 papers), Anomaly Detection Techniques and Applications (37 papers), Advanced Image and Video Retrieval Techniques (17 papers), EEG and Brain-Computer Interfaces (16 papers), Gait Recognition and Analysis (14 papers), Advanced Vision and Imaging (13 papers) and Face recognition and analysis (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Signal Processing (414 citations), Artificial Intelligence (1.2k citations), Cognitive Neuroscience (550 citations) and Human-Computer Interaction (141 citations). Simon Denman has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Clinton Fookes, Sridha Sridharan, Tharindu Fernando, David Ryan, David Ahmedt‐Aristizabal, Harshala Gammulle, Kien Nguyen, Theekshana Dissanayake, Mohammad Ali Armin and Lars Petersson. Their work appears in journals such as Computer Vision and Image Understanding, IEEE Journal of Biomedical and Health Informatics, Pattern Recognition Letters, Pattern Recognition and Epilepsy & Behavior.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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