Tharindu Fernando

According to our database, Tharindu Fernando authored at least 53 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining.

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

IEEE Trans. Geosci. Remote. Sens., 2024

Multimodal Colearning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works.

Nhi Kieu, Kien Nguyen Thanh, Abdullah Nazib, Tharindu Fernando, Clinton Fookes, Sridha Sridharan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization.

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Pattern Recognit., July, 2023

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer.

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

IEEE J. Biomed. Health Informatics, February, 2023

Toward On-Board Panoptic Segmentation of Multispectral Satellite Images.

Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan

IEEE Trans. Geosci. Remote. Sens., 2023

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training.

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

CoRR, 2023

Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction.

Tharindu Fernando, Harshala Gammulle, Sridha Sridharan, Simon Denman, Clinton Fookes

CoRR, 2023

Physical Adversarial Attacks for Surveillance: A Survey.

Kien Nguyen Thanh, Tharindu Fernando, Clinton Fookes, Sridha Sridharan

CoRR, 2023

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning.

Amir Taghvaie, Warnakulasuriya Tharindu Romesh Fernando, Dinesh Kumar, Firuz Zare, Rahul Sharma, D. Mahinda Vilathgamuwa

IEEE Access, 2023

2022

Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings.

Tharindu Fernando, Sridha Sridharan, Simon Denman, Houman Ghaemmaghami, Clinton Fookes

IEEE J. Biomed. Health Informatics, 2022

Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals.

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

IEEE J. Biomed. Health Informatics, 2022

Split 'n' merge net: A dynamic masking network for multi-task attention.

Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes

Pattern Recognit., 2022

Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion.

Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Knowl. Based Syst., 2022

Deep Learning for Medical Anomaly Detection - A Survey.

Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

ACM Comput. Surv., 2022

Using Auxiliary Information for Person Re-Identification - A Tutorial Overview.

Tharindu Fernando, Clinton Fookes, Sridha Sridharan, Dana Michalski

CoRR, 2022

Towards On-Board Panoptic Segmentation of Multispectral Satellite Images.

Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan

CoRR, 2022

Detecting Heart Failure Through Voice Analysis using Self-Supervised Mode-Based Memory Fusion.

Darshana Priyasad, Andi Partovi, Sridha Sridharan, Maryam Kashefpoor, Tharindu Fernando, Simon Denman, Clinton Fookes, Jia Tang, David Kaye

Proceedings of the Interspeech 2022, 2022

2021

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation.

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes

IEEE J. Biomed. Health Informatics, 2021

Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Jonathan Edward Robinson, Sridha Sridharan, Patrick J. Johnston, Kristin R. Laurens, Clinton Fookes

IEEE J. Biomed. Health Informatics, 2021

Detection of Fake and Fraudulent Faces via Neural Memory Networks.

Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan

IEEE Trans. Inf. Forensics Secur., 2021

Domain Generalization in Biosignal Classification.

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes

IEEE Trans. Biomed. Eng., 2021

Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

IEEE Signal Process. Mag., 2021

Memory based fusion for multi-modal deep learning.

Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Inf. Fusion, 2021

Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis.

Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes

CoRR, 2021

Reduction of Feature Contamination for Hyper Spectral Image Classification.

Sutharsan Mahendren, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

Memory Augmented Deep Generative Models for Forecasting the Next Shot Location in Tennis.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

IEEE Trans. Knowl. Data Eng., 2020

Heart Sound Segmentation Using Bidirectional LSTMs With Attention.

Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes

IEEE J. Biomed. Health Informatics, 2020

Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection.

Tharindu Fernando, Sridha Sridharan, Mitchell McLaren, Darshana Priyasad, Simon Denman, Clinton Fookes

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Neural memory plasticity for medical anomaly detection.

Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes

Neural Networks, 2020

Patient-independent Epileptic Seizure Prediction using Deep Learning Models.

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2020

Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2020

Memory Based Attentive Fusion.

Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2020

Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection.

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes

CoRR, 2020

Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection.

Tharindu Fernando, Sridha Sridharan, Mitchell McLaren, Darshana Priyasad, Simon Denman, Clinton Fookes

CoRR, 2020

Attention Driven Fusion for Multi-Modal Emotion Recognition.

Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Neural Memory Networks for Seizure Type Classification.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Neural Memory Networks for Robust Classification of Seizure Type.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes

CoRR, 2019

Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks.

Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan

CoRR, 2019

Neural Memory Plasticity for Anomaly Detection.

Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes

CoRR, 2019

Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation.

Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

<i>Soft</i> + <i>Hardwired</i> attention: An LSTM framework for human trajectory prediction and abnormal event detection.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Neural Networks, 2018

Tree Memory Networks for modelling long-term temporal dependencies.

Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes

Neurocomputing, 2018

Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Pedestrian Trajectory Prediction with Structured Memory Hierarchies.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Deep Decision Trees for Discriminative Dictionary Learning With Adversarial Multi-Agent Trajectories.

Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2017

Going Deeper: Autonomous Steering with Neural Memory Networks.

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

A hybrid algorithm for player arm biomechanics evaluation in outdoor sporting activities.

Tharindu Fernando, U. Amalka J. Pinidiyaarachchi

Int. J. Comput. Sci. Sport, 2015

Fuzzy logic based mobile robot target tracking in dynamic hostile environment.

Tharindu Fernando, Harshala Gammulle, Chamila Walgampaya

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2015