Feature warping for robust speaker verification J Pelecanos, S Sridharan Proceedings of 2001 A speaker Odyssey: the speaker recognition workshop, 213-218, 2001 | 938 | 2001 |
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 | 416 | 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 | 395 | 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 | 381 | 2009 |
Automatically detecting pain in video through facial action units P Lucey, JF Cohn, I Matthews, S Lucey, S Sridharan, J Howlett, ... IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010 | 342 | 2010 |
PLDA based speaker recognition on short utterances A Kanagasundaram, R Vogt, D Dean, S Sridharan Proceedings of The Speaker and Language Recognition Workshop: Odyssey 2012 …, 2012 | 293 | 2012 |
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 | 290 | 2021 |
Texture for script identification A Busch, WW Boles, S Sridharan IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (11), 1720 …, 2005 | 243 | 2005 |
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 | 221 | 2017 |
The QUT-NOISE-TIMIT corpus for evaluation of voice activity detection algorithms D Dean, S Sridharan, R Vogt, M Mason Proceedings of the 11th annual conference of the international speech …, 2010 | 219 | 2010 |
Large-scale analysis of soccer matches using spatiotemporal tracking data A Bialkowski, P Lucey, P Carr, Y Yue, S Sridharan, I Matthews 2014 IEEE international conference on data mining, 725-730, 2014 | 212 | 2014 |
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 | 193 | 2011 |
A database for person re-identification in multi-camera surveillance networks A Bialkowski, S Denman, S Sridharan, C Fookes, P Lucey 2012 International Conference on Digital Image Computing Techniques and …, 2012 | 186 | 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 | 183 | 2012 |
Long range iris recognition: A survey K Nguyen, C Fookes, R Jillela, S Sridharan, A Ross Pattern Recognition 72, 123-143, 2017 | 180 | 2017 |
Explicit modelling of session variability for speaker verification R Vogt, S Sridharan Computer Speech & Language 22 (1), 17-38, 2008 | 176 | 2008 |
Real-time adaptive background segmentation D Butler, S Sridharan, VMJ Bove 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 173 | 2003 |
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 | 167 | 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 | 166 | 2019 |
Person-independent facial expression detection using constrained local models SW Chew, P Lucey, S Lucey, J Saragih, JF Cohn, S Sridharan 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011 | 153 | 2011 |