| Crowd counting using multiple local features D Ryan, S Denman, C Fookes, S Sridharan 2009 Digital Image Computing: Techniques and Applications, 81-88, 2009 | 205 | 2009 |
| 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 | 132 | 2012 |
| 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 | 125 | 2011 |
| 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 | 104 | 2012 |
| 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 | 94 | 2011 |
| 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 | 92 | 2015 |
| 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 | 86 | 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 | 83 | 2009 |
| 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 | 80 | 2017 |
| Face recognition from 3d data using iterative closest point algorithm and gaussian mixture models J Cook, V Chandran, S Sridharan, C Fookes Proceedings. 2nd International Symposium on 3D Data Processing …, 2004 | 79 | 2004 |
| 3D face recognition using log-gabor templates JA Cook, V Chandran, CB Fookes | 77 | 2006 |
| Design and development of automatic visual inspection system for PCB manufacturing NSS Mar, P Yarlagadda, C Fookes Robotics and computer-integrated manufacturing 27 (5), 949-962, 2011 | 73 | 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 | 69 | 2013 |
| 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 | 68 | 2009 |
| 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 | 61 | 2017 |
| 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 | 58 | 2011 |
| Long range iris recognition: A survey K Nguyen, C Fookes, R Jillela, S Sridharan, A Ross Pattern Recognition 72, 123-143, 2017 | 56 | 2017 |
| Super-resolved faces for improved face recognition from surveillance video F Lin, C Fookes, V Chandran, S Sridharan International Conference on Biometrics, 1-10, 2007 | 52 | 2007 |
| Investigation into optical flow super-resolution for surveillance applications FC Lin, CB Fookes, V Chandran, S Sridharan The University of Queensland, 2005 | 49 | 2005 |
| Feature-domain super-resolution framework for Gabor-based face and iris recognition K Nguyen, S Sridharan, S Denman, C Fookes 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2642-2649, 2012 | 48 | 2012 |
Sridha SridharanProfessorVerified email at qut.edu.au
