| 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 | 339 | 2018 |
| Deep Learning for Medical Anomaly Detection--A Survey T Fernando, H Gammulle, S Denman, S Sridharan, C Fookes ACM Computing Surveys, 2021 | 126 | 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 | 78 | 2018 |
| 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 | 77* | 2021 |
| 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 | 67 | 2019 |
| 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 | 59* | 2020 |
| 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 | 59 | 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 | 59 | 2019 |
| 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 | 55 | 2020 |
| Tree memory networks for modelling long-term temporal dependencies T Fernando, S Denman, A McFadyen, S Sridharan, C Fookes Neurocomputing 304, 64-81, 2018 | 54 | 2018 |
| 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 | 54 | 2017 |
| Neural memory networks for robust classification of seizure type D Ahmedt Aristizabal, T Warnakulasuriya, S Denman, L Petersson, ... Cornell University Library/arXiv, 2019 | 50* | 2019 |
| 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 | 43 | 2020 |
| 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 | 41* | 2020 |
| Discovering Methods of Scoring in Soccer Using Tracking Data T Fernando, X Wei, C Fookes, S Sridharan, P Lucey | 34* | 2015 |
| 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 | 29 | 2019 |
| Neural memory plasticity for medical anomaly detection T Fernando, S Denman, D Ahmedt-Aristizabal, S Sridharan, KR Laurens, ... Neural Networks 127, 67-81, 2020 | 28* | 2020 |
| Task specific visual saliency prediction with memory augmented conditional generative adversarial networks T Fernando, S Denman, S Sridharan, C Fookes 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1539-1548, 2018 | 27 | 2018 |
| Learning temporal strategic relationships using generative adversarial imitation learning T Fernando, S Denman, S Sridharan, C Fookes arXiv preprint arXiv:1805.04969, 2018 | 26 | 2018 |
| 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 | 25 | 2018 |
Clinton FookesQueensland University of TechnologyVerified email at qut.edu.au
