Clinton Fookes
Cited by
Cited by
Iris recognition with off-the-shelf CNN features: A deep learning perspective
K Nguyen, C Fookes, A Ross, S Sridharan
IEEE Access 6, 18848-18855, 2017
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
Crowd counting using multiple local features
D Ryan, S Denman, C Fookes, S Sridharan
2009 digital image computing: techniques and applications, 81-88, 2009
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
Bayesian neural networks: An introduction and survey
E Goan, C Fookes
Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall …, 2020
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
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
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
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
Long range iris recognition: A survey
K Nguyen, C Fookes, R Jillela, S Sridharan, A Ross
Pattern Recognition 72, 123-143, 2017
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
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
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
Image2mesh: A learning framework for single image 3d reconstruction
JK Pontes, C Kong, S Sridharan, S Lucey, A Eriksson, C Fookes
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
Correlation-aware adversarial domain adaptation and generalization
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
Pattern Recognition 100, 107124, 2020
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
Design and development of automatic visual inspection system for PCB manufacturing
NSS Mar, PKDV Yarlagadda, C Fookes
Robotics and computer-integrated manufacturing 27 (5), 949-962, 2011
Liveness detection based on 3D face shape analysis
A Lagorio, M Tistarelli, M Cadoni, C Fookes, S Sridharan
2013 International Workshop on Biometrics and Forensics (IWBF), 1-4, 2013
Super-resolution for biometrics: A comprehensive survey
K Nguyen, C Fookes, S Sridharan, M Tistarelli, M Nixon
Pattern Recognition 78, 23-42, 2018
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
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