Kien Nguyen Thanh
Kien Nguyen Thanh
Speech Audio Image Video Technology lab, Queensland University of Technology, Australia
Verified email at qut.edu.au
Title
Cited by
Cited by
Year
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
1482017
Long range iris recognition: A survey
K Nguyen, C Fookes, R Jillela, S Sridharan, A Ross
Pattern Recognition 72, 123-143, 2017
812017
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
612011
Super-resolution for biometrics: A comprehensive survey
K Nguyen, C Fookes, S Sridharan, M Tistarelli, M Nixon
Pattern Recognition 78, 23-42, 2018
532018
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, 2015
532015
Feature-domain super-resolution framework for Gabor-based face and iris recognition
K Nguyen, S Sridharan, S Denman, C Fookes
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
522012
Feature-domain super-resolution for iris recognition
K Nguyen, C Fookes, S Sridharan, S Denman
Computer Vision and Image Understanding 117 (10), 1526-1535, 2013
512013
Fusing shrinking and expanding active contour models for robust iris segementation
K Nguyen, C Fookes, S Sridharan
10th International Conference on Information Science, Signal Processing and …, 2010
382010
Deep spatio-temporal features for multimodal emotion recognition
D Nguyen, K Nguyen, S Sridharan, A Ghasemi, D Dean, C Fookes
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 1215-1223, 2017
372017
Deep spatio-temporal features for multimodal emotion recognition
D Nguyen Tien, K Nguyen Thanh, S Sridharan, A Ghasemi, D Dean, ...
37*2017
Improving deep convolutional neural networks with unsupervised feature learning
K Nguyen, C Fookes, S Sridharan
2015 IEEE International Conference on Image Processing (ICIP), 2270-2274, 2015
362015
Improving deep convultional neural networks with unsupervised feature learning
K Nguyen Thanh, CB Fookes, S Sridharan
Proceedings-International Conference on Image Processing 2015, 2015
36*2015
Fusing shrinking and expanding active contour models for robust iris segementation
K Nguyen, C Fookes, S Sridharan
10th International Conference on Information Science, Signal Processing and …, 2010
342010
Deep classification of epileptic signals
D Ahmedt-Aristizabal, C Fookes, K Nguyen, S Sridharan
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
282018
Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: A focused survey
D Ahmedt‐Aristizabal, C Fookes, S Dionisio, K Nguyen, JPS Cunha, ...
Epilepsia 58 (11), 1817-1831, 2017
242017
Deep facial analysis: A new phase I epilepsy evaluation using computer vision
D Ahmedt-Aristizabal, C Fookes, K Nguyen, S Denman, S Sridharan, ...
Epilepsy & Behavior 82, 17-24, 2018
202018
Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition
D Nguyen, K Nguyen, S Sridharan, D Dean, C Fookes
Computer Vision and Image Understanding 174, 33-42, 2018
192018
Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move
K Nguyen Thanh, CB Fookes, S Sridharan, S Denman
19*2010
Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move
K Nguyen, C Fookes, S Sridharan, S Denman
2010 25th International Conference of Image and Vision Computing New Zealand …, 2010
192010
Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move
K Nguyen, C Fookes, S Sridharan
Proceedings of the 2010 Symposium on Information and Communication …, 2010
172010
The system can't perform the operation now. Try again later.
Articles 1–20