Simon Denman

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Clinton FookesQueensland University of TechnologyDirección de correo verificada de qut.edu.au
Tharindu FernandoQueensland University of TechnologyDirección de correo verificada de qut.edu.au
David Ahmedt-AristizabalCSIRO Data61Dirección de correo verificada de data61.csiro.au
David RyanShield AIDirección de correo verificada de shield.ai
Harshala GammulleQueensland University of TechnologyDirección de correo verificada de qut.edu.au
Kien Nguyen ThanhQueensland University of TechnologyDirección de correo verificada de qut.edu.au
Vinod ChandranRetired Professor, School of Electrical Engineering and Computer Science, Queensland University ofDirección de correo verificada de qut.edu.au
Sivapalan SabesanDrDirección de correo verificada de qut.edu.au
Michael HalsteadUniversity of BonnDirección de correo verificada de uni-bonn.de
Osman TursunQueensland University of TechnologyDirección de correo verificada de qut.edu.au
Alina BialkowskiThe University of QueenslandDirección de correo verificada de uq.edu.au
Simon LuceyProfessor, University of AdelaideDirección de correo verificada de adelaide.edu
Chris McCoolProfessor, University of BonnDirección de correo verificada de uni-bonn.de
Tim WarkCSIRODirección de correo verificada de csiro.au
Rui ZengResearch FellowDirección de correo verificada de sydney.edu.au
Amena KhatunCERC Postdoctoral Fellow at CSIRODirección de correo verificada de data61.csiro.au
Xufeng Guo(Felix)PHD Student of SAIVT Lab, Queensland University of TechnologyDirección de correo verificada de qut.edu.au
Hajananth NallaivarothayanQueensland University of TechnologyDirección de correo verificada de qut.edu.au
Dung NguyenResearch Fellow at The University of QueenslandDirección de correo verificada de uq.edu.au
Dian TjondronegoroGriffith UniversityDirección de correo verificada de griffith.edu.au

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Simon Denman

Queensland University of Technology

Dirección de correo verificada de qut.edu.au

Computer Vision Biometrics Intelligent Surveillance


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Soft+ hardwired attention: An lstm framework for human trajectory prediction and abnormal event detection T Fernando, S Denman, S Sridharan, C Fookes Neural networks 108, 466-478, 2018	386	2018
Crowd counting using multiple local features D Ryan, S Denman, C Fookes, S Sridharan 2009 digital image computing: techniques and applications, 81-88, 2009	379	2009
Deep learning for medical anomaly detection–a survey T Fernando, H Gammulle, S Denman, S Sridharan, C Fookes ACM Computing Surveys (CSUR) 54 (7), 1-37, 2021	260	2021
Two stream lstm: A deep fusion framework for human action recognition H Gammulle, S Denman, S Sridharan, C Fookes 2017 IEEE winter conference on applications of computer vision (WACV), 177-186, 2017	216	2017
Graph-based deep learning for medical diagnosis and analysis: past, present and future D Ahmedt-Aristizabal, MA Armin, S Denman, C Fookes, L Petersson Sensors 21 (14), 4758, 2021	205	2021
Gait energy volumes and frontal gait recognition using depth images S Sivapalan, D Chen, S Denman, S Sridharan, C Fookes 2011 International Joint Conference on Biometrics (IJCB), 1-6, 2011	190	2011
A database for person re-identification in multi-camera surveillance networks A Bialkowski, S Denman, S Sridharan, C Fookes, P Lucey Digital Image Computing Techniques and Applications (DICTA), 2012 …, 2012	183	2012
A mask-based approach for the geometric calibration of thermal-infrared cameras S Vidas, R Lakemond, S Denman, C Fookes, S Sridharan, T Wark IEEE Transactions on Instrumentation and Measurement 61 (6), 1625-1635, 2012	179	2012
An evaluation of crowd counting methods, features and regression models D Ryan, S Denman, S Sridharan, C Fookes Computer Vision and Image Understanding 130, 1-17, 2015	163	2015
Textures of optical flow for real-time anomaly detection in crowds D Ryan, S Denman, C Fookes, S Sridharan 2011 8th IEEE international conference on advanced video and signal based …, 2011	134	2011
Deep learning for patient-independent epileptic seizure prediction using scalp EEG signals T Dissanayake, T Fernando, S Denman, S Sridharan, C Fookes IEEE Sensors Journal 21 (7), 9377-9388, 2021	124	2021
An adaptive optical flow technique for person tracking systems S Denman, V Chandran, S Sridharan Pattern recognition letters 28 (10), 1232-1239, 2007	122	2007
A survey on graph-based deep learning for computational histopathology D Ahmedt-Aristizabal, MA Armin, S Denman, C Fookes, L Petersson Computerized Medical Imaging and Graphics 95, 102027, 2022	112	2022
Predicting the future: A jointly learnt model for action anticipation H Gammulle, S Denman, S Sridharan, C Fookes Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	106	2019
Improved simultaneous computation of motion detection and optical flow for object tracking S Denman, C Fookes, S Sridharan 2009 Digital Image Computing: Techniques and Applications, 175-182, 2009	106	2009
Fruit Quantity and Ripeness Estimation Using a Robotic Vision System M Halstead, C McCool, S Denman, T Perez, C Fookes IEEE Robotics and Automation Letters 3 (4), 2995-3002, 2018	103	2018
Automated detection of koalas using low-level aerial surveillance and machine learning E Corcoran, S Denman, J Hanger, B Wilson, G Hamilton Scientific reports 9 (1), 3208, 2019	102	2019
Identification of children at risk of schizophrenia via deep learning and EEG responses D Ahmedt-Aristizabal, T Fernando, S Denman, JE Robinson, S Sridharan, ... IEEE Journal of biomedical and health informatics 25 (1), 69-76, 2020	91	2020
Using synthetic data to improve facial expression analysis with 3d convolutional networks I Abbasnejad, S Sridharan, D Nguyen, S Denman, C Fookes, S Lucey Proceedings of the IEEE International Conference on Computer Vision …, 2017	89	2017
Tracking by prediction: A deep generative model for mutli-person localisation and tracking T Fernando, S Denman, S Sridharan, C Fookes 2018 IEEE Winter conference on applications of computer vision (WACV), 1122-1132, 2018	88	2018

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