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Tharindu Fernando
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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
3602018
Deep Learning for Medical Anomaly Detection--A Survey
T Fernando, H Gammulle, S Denman, S Sridharan, C Fookes
ACM Computing Surveys, 2021
1772021
Deep learning for patient-independent epileptic seizure prediction using scalp EEG signals
T Dissanayake, T Fernando, S Denman, S Sridharan, C Fookes
IEEE Sensors Journal 21 (7), 9377-9388, 2021
98*2021
Tracking by prediction: A deep generative model for mutli-person localisation and tracking
T Fernando, S Denman, S Sridharan, C Fookes
2018 IEEE Winter conference on applications of computer vision (WACV), 1122-1132, 2018
782018
Attention driven fusion for multi-modal emotion recognition
D Priyasad, T Fernando, S Denman, S Sridharan, C Fookes
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
772020
Identification of children at risk of schizophrenia via deep learning and EEG responses
D Ahmedt-Aristizabal, T Fernando, S Denman, JE Robinson, S Sridharan, ...
IEEE journal of biomedical and health informatics 25 (1), 69-76, 2020
732020
Gd-gan: Generative adversarial networks for trajectory prediction and group detection in crowds
T Fernando, S Denman, S Sridharan, C Fookes
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
732019
A robust interpretable deep learning classifier for heart anomaly detection without segmentation
T Dissanayake, T Fernando, S Denman, S Sridharan, H Ghaemmaghami, ...
IEEE Journal of Biomedical and Health Informatics 25 (6), 2162-2171, 2020
72*2020
Heart sound segmentation using bidirectional LSTMs with attention
T Fernando, H Ghaemmaghami, S Denman, S Sridharan, N Hussain, ...
IEEE journal of biomedical and health informatics 24 (6), 1601-1609, 2019
682019
Neural memory networks for robust classification of seizure type
D Ahmedt Aristizabal, T Warnakulasuriya, S Denman, L Petersson, ...
Cornell University Library/arXiv, 2019
63*2019
Tree memory networks for modelling long-term temporal dependencies
T Fernando, S Denman, A McFadyen, S Sridharan, C Fookes
Neurocomputing 304, 64-81, 2018
612018
Going Deeper: Autonomous Steering With Neural Memory Networks
T Fernando, S Denman, S Sridharan, C Fookes
Proceedings of the IEEE Conference on Computer Vision, 214-221, 2017
552017
Deep inverse reinforcement learning for behavior prediction in autonomous driving: Accurate forecasts of vehicle motion
T Fernando, S Denman, S Sridharan, C Fookes
IEEE Signal Processing Magazine 38 (1), 87-96, 2020
542020
Detection of fake and fraudulent faces via neural memory networks
T Fernando, C Fookes, S Denman, S Sridharan
IEEE Transactions on Information Forensics and Security 16, 1973-1988, 2020
47*2020
Discovering Methods of Scoring in Soccer Using Tracking Data
T Fernando, X Wei, C Fookes, S Sridharan, P Lucey
38*2015
Geometric deep learning for subject independent epileptic seizure prediction using scalp EEG signals
T Dissanayake, T Fernando, S Denman, S Sridharan, C Fookes
IEEE Journal of Biomedical and Health Informatics 26 (2), 527-538, 2021
372021
Neural memory plasticity for medical anomaly detection
T Fernando, S Denman, D Ahmedt-Aristizabal, S Sridharan, KR Laurens, ...
Neural Networks 127, 67-81, 2020
372020
Memory augmented deep generative models for forecasting the next shot location in tennis
T Fernando, S Denman, S Sridharan, C Fookes
IEEE Transactions on Knowledge and Data Engineering 32 (9), 1785-1797, 2019
342019
A hierarchical multimodal system for motion analysis in patients with epilepsy
D Ahmedt-Aristizabal, C Fookes, S Denman, K Nguyen, T Fernando, ...
Epilepsy & Behavior 87, 46-58, 2018
302018
Learning temporal strategic relationships using generative adversarial imitation learning
T Fernando, S Denman, S Sridharan, C Fookes
arXiv preprint arXiv:1805.04969, 2018
292018
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Articles 1–20