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Simon Denman
Tytuł
Cytowane przez
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Crowd counting using multiple local features
D Ryan, S Denman, C Fookes, S Sridharan
2009 digital image computing: techniques and applications, 81-88, 2009
3462009
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
3182018
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
1842017
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
1722011
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
1712012
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
1632012
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
1512015
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
1262011
An adaptive optical flow technique for person tracking systems
S Denman, V Chandran, S Sridharan
Pattern recognition letters 28 (10), 1232-1239, 2007
1162007
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
1062009
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
1002021
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
822019
Soft-biometrics: unconstrained authentication in a surveillance environment
S Denman, C Fookes, A Bialkowski, S Sridharan
2009 Digital Image Computing: Techniques and Applications, 196-203, 2009
792009
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
752018
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
732021
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
732019
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
732018
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
722017
Score-level multibiometric fusion based on Dempster–Shafer theory incorporating uncertainty factors
K Nguyen, S Denman, S Sridharan, C Fookes
IEEE Transactions on Human-Machine Systems 45 (1), 132-140, 2014
712014
Quality-driven super-resolution for less constrained iris recognition at a distance and on the move
K Nguyen, C Fookes, S Sridharan, S Denman
IEEE transactions on information forensics and security 6 (4), 1248-1258, 2011
702011
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