Tharindu Fernando

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 66

Top Topics

Generative Model

Anomaly Detection

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Nhi Kieu, Kien Nguyen Thanh, Abdullah Nazib, Tharindu Fernando, Clinton Fookes, Sridha Sridharan
Multimodal Colearning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan
Toward On-Board Panoptic Segmentation of Multispectral Satellite Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Darshana Prisayad, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes
Dual Memory Fusion for Multimodal Speech Emotion Recognition. INTERSPEECH (2023)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer. IEEE J. Biomed. Health Informatics 27 (2) (2023)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. Pattern Recognit. 139 (2023)
Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. CoRR (2023)
Kien Nguyen Thanh, Tharindu Fernando, Clinton Fookes, Sridha Sridharan
Physical Adversarial Attacks for Surveillance: A Survey. CoRR (2023)
Tharindu Fernando, Harshala Gammulle, Sridha Sridharan, Simon Denman, Clinton Fookes
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction. CoRR (2023)
Tharindu Fernando, Sridha Sridharan, Simon Denman, Houman Ghaemmaghami, Clinton Fookes
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images. CoRR (2022)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals. IEEE J. Biomed. Health Informatics 26 (2) (2022)
Tharindu Fernando, Clinton Fookes, Sridha Sridharan, Dana Michalski
Using Auxiliary Information for Person Re-Identification - A Tutorial Overview. CoRR (2022)
Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion. Knowl. Based Syst. 250 (2022)
Darshana Priyasad, Andi Partovi, Sridha Sridharan, Maryam Kashefpoor, Tharindu Fernando, Simon Denman, Clinton Fookes, Jia Tang, David Kaye
Detecting Heart Failure Through Voice Analysis using Self-Supervised Mode-Based Memory Fusion. INTERSPEECH (2022)
Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes
Deep Learning for Medical Anomaly Detection - A Survey. ACM Comput. Surv. 54 (7) (2022)
Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes
Split 'n' merge net: A dynamic masking network for multi-task attention. Pattern Recognit. 126 (2022)
David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Jonathan Edward Robinson, Sridha Sridharan, Patrick J. Johnston, Kristin R. Laurens, Clinton Fookes
Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses. IEEE J. Biomed. Health Informatics 25 (1) (2021)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion. IEEE Signal Process. Mag. 38 (1) (2021)
Sutharsan Mahendren, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes
Reduction of Feature Contamination for Hyper Spectral Image Classification. DICTA (2021)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan
Detection of Fake and Fraudulent Faces via Neural Memory Networks. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Tharindu Fernando, Sridha Sridharan, Simon Denman, Houman Ghaemmaghami, Clinton Fookes
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. CoRR (2021)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes
Domain Generalization in Biosignal Classification. IEEE Trans. Biomed. Eng. 68 (6) (2021)
Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Memory based fusion for multi-modal deep learning. Inf. Fusion 67 (2021)
Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis. CoRR (2021)
Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Attention Driven Fusion for Multi-Modal Emotion Recognition. ICASSP (2020)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes
Domain Generalization in Biosignal Classification. CoRR (2020)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Patient-independent Epileptic Seizure Prediction using Deep Learning Models. CoRR (2020)
Tharindu Fernando, Sridha Sridharan, Mitchell McLaren, Darshana Priyasad, Simon Denman, Clinton Fookes
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection. CoRR (2020)
Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Memory Based Attentive Fusion. CoRR (2020)
Darshana Priyasad, Tharindu Fernando, Simon Denman, Clinton Fookes, Sridha Sridharan
Attention Driven Fusion for Multi-Modal Emotion Recognition. CoRR (2020)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection. CoRR (2020)
Tharindu Fernando, Sridha Sridharan, Mitchell McLaren, Darshana Priyasad, Simon Denman, Clinton Fookes
Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes
Deep Learning for Medical Anomaly Detection - A Survey. CoRR (2020)
Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes
Neural memory plasticity for medical anomaly detection. Neural Networks 127 (2020)
Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes
Heart Sound Segmentation using Bidirectional LSTMs with Attention. CoRR (2020)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers. CoRR (2020)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Memory Augmented Deep Generative Models for Forecasting the Next Shot Location in Tennis. IEEE Trans. Knowl. Data Eng. 32 (9) (2020)
Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes
Heart Sound Segmentation Using Bidirectional LSTMs With Attention. IEEE J. Biomed. Health Informatics 24 (6) (2020)
David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes
Neural Memory Networks for Seizure Type Classification. EMBC (2020)
Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation. CoRR (2019)
Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Learning Salient Features for Multimodal Emotion Recognition with Recurrent Neural Networks and Attention Based Fusion. AVSP (2019)
Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes
Neural Memory Plasticity for Anomaly Detection. CoRR (2019)
Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks. CoRR (2019)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons. ICCV Workshops (2019)
Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. WACV (2019)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis. CoRR (2019)
David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes
Neural Memory Networks for Robust Classification of Seizure Type. CoRR (2019)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. AAMAS (2018)
Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman
Deep Decision Trees for Discriminative Dictionary Learning With Adversarial Multi-Agent Trajectories. CVPR Workshops (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. ACCV (1) (2018)
Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories. CoRR (2018)
Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes
Tree Memory Networks for modelling long-term temporal dependencies. Neurocomputing 304 (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. CoRR (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. CoRR (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. CoRR (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. CoRR (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. ECML/PKDD (1) (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking. WACV (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
attention: An LSTM framework for human trajectory prediction and abnormal event detection. Neural Networks 108 (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Tracking by Prediction: A Deep Generative Model for Mutli-Person localisation and Tracking. CoRR (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. WACV (2018)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection. CoRR (2017)
Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes
Tree Memory Networks for Modelling Long-term Temporal Dependencies. CoRR (2017)
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Going Deeper: Autonomous Steering with Neural Memory Networks. ICCV Workshops (2017)
Tharindu Fernando, U. Amalka J. Pinidiyaarachchi
A hybrid algorithm for player arm biomechanics evaluation in outdoor sporting activities. Int. J. Comput. Sci. Sport 14 (1) (2015)
Tharindu Fernando, Harshala Gammulle, Chamila Walgampaya
Fuzzy logic based mobile robot target tracking in dynamic hostile environment. CIVEMSA (2015)