| 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 | 362 | 2017 |
| Crowd counting using multiple local features D Ryan, S Denman, C Fookes, S Sridharan 2009 digital image computing: techniques and applications, 81-88, 2009 | 357 | 2009 |
| 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 | 344 | 2018 |
| 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 | 280 | 2020 |
| 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 | 195 | 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 | 177 | 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 | 175 | 2012 |
| Bayesian neural networks: An introduction and survey E Goan, C Fookes Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall …, 2020 | 173 | 2020 |
| 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 | 166 | 2012 |
| Long range iris recognition: A survey K Nguyen, C Fookes, R Jillela, S Sridharan, A Ross Pattern Recognition 72, 123-143, 2017 | 161 | 2017 |
| 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 | 156 | 2015 |
| 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 | 146 | 2021 |
| 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 | 143 | 2019 |
| 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 | 126 | 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 | 125 | 2011 |
| 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 | 122 | 2021 |
| 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 | 121 | 2013 |
| Super-resolution for biometrics: A comprehensive survey K Nguyen, C Fookes, S Sridharan, M Tistarelli, M Nixon Pattern Recognition 78, 23-42, 2018 | 117 | 2018 |
| Correlation-aware adversarial domain adaptation and generalization MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan Pattern Recognition 100, 107124, 2020 | 106 | 2020 |
| 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 |
Sridha SridharanProfessorVerified email at qut.edu.au
