Fuzzy logic based mobile robot target tracking in dynamic hostile environment. - Tharindu Fernando; Harshala Gammulle; Chamila Walgampaya (CIVEMSA, 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)

Going Deeper: Autonomous Steering with Neural Memory Networks. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ICCV Workshops, 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)

GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ACCV (1), 2018)

Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (AAMAS, 2018)

Deep Decision Trees for Discriminative Dictionary Learning With Adversarial Multi-Agent Trajectories. - Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Simon Denman (CVPR Workshops, 2018)

Pedestrian Trajectory Prediction with Structured Memory Hierarchies. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ECML/PKDD (1), 2018)

Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2018)

Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2018)

Tree Memory Networks for modelling long-term temporal dependencies. - Tharindu Fernando; Simon Denman; Aaron McFadyen; Sridha Sridharan; Clinton Fookes (Neurocomputing, 2018)

Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection. - Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Neural Networks, 2018)

Learning Salient Features for Multimodal Emotion Recognition with Recurrent Neural Networks and Attention Based Fusion. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (AVSP, 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 (ICCV Workshops, 2019)

Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. - Harshala Gammulle; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 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)

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 Networks for Robust Classification of Seizure Type. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Lars Petersson; Matthew J. Aburn; Clinton Fookes (CoRR, 2019)

Neural Memory Networks for Seizure Type Classification. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Lars Petersson; Matthew J. Aburn; Clinton Fookes (EMBC, 2020)

Attention Driven Fusion for Multi-Modal Emotion Recognition. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ICASSP, 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)

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)

Memory Based Attentive Fusion. - Darshana Priyasad; 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)

Patient-independent Epileptic Seizure Prediction using Deep Learning Models. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 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)

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)

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)

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)

Reduction of Feature Contamination for Hyper Spectral Image Classification. - Sutharsan Mahendren; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (DICTA, 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)

Memory based fusion for multi-modal deep learning. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Inf. Fusion, 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)

Domain Generalization in Biosignal Classification. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Houman Ghaemmaghami; Sridha Sridharan; Clinton Fookes (IEEE Trans. Biomed. Eng., 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)

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)

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)

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 (INTERSPEECH, 2022)

Towards On-Board Panoptic Segmentation of Multispectral Satellite Images. - Tharindu Fernando; Clinton Fookes; Harshala Gammulle; Simon Denman; Sridha Sridharan (CoRR, 2022)

Using Auxiliary Information for Person Re-Identification - A Tutorial Overview. - Tharindu Fernando; Clinton Fookes; Sridha Sridharan; Dana Michalski (CoRR, 2022)

Deep Learning for Medical Anomaly Detection - A Survey. - Tharindu Fernando; Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (ACM Comput. Surv., 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)

Split 'n' merge net: A dynamic masking network for multi-task attention. - Tharindu Fernando; Sridha Sridharan; Simon Denman; Clinton Fookes (Pattern Recognit., 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)

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)

Dual Memory Fusion for Multimodal Speech Emotion Recognition. - Darshana Prisayad; Tharindu Fernando; Sridha Sridharan; Simon Denman; Clinton Fookes (INTERSPEECH, 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 005; Firuz Zare; Rahul Sharma 003; D. Mahinda Vilathgamuwa (IEEE Access, 2023)

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. - Shaheer Mohamed; Maryam Haghighat; Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (CoRR, 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)

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, 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., 2023)

Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking. - Shaheer Mohamed; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (WHISPERS, 2024)

AI and Entrepreneurship: Facial Recognition Technology Detects Entrepreneurs, Outperforming Human Experts. - Martin Obschonka; Christian Fisch; Tharindu Fernando; Clinton Fookes (CoRR, 2024)

PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings. - Sutharsan Mahendren; Saimunur Rahman; Piotr Koniusz; Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (CoRR, 2024)

Physics Augmented Tuple Transformer for Autism Severity Level Detection. - Chinthaka Ranasingha; Harshala Gammulle; Tharindu Fernando; Sridha Sridharan; Clinton Fookes (CoRR, 2024)

Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning. - Nethmi S. Hewawiththi; M. Mahesha Viduranga; Vanodhya G. Warnasooriya; Tharindu Fernando; Himal A. Suraweera; Sridha Sridharan; Clinton Fookes (CoRR, 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)

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)

Physical Adversarial Attacks for Surveillance: A Survey. - Kien Nguyen 001; Tharindu Fernando; Clinton Fookes; Sridha Sridharan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Face Deepfakes - A Comprehensive Review. - Tharindu Fernando; Darshana Priyasad; Sridha Sridharan; Arun Ross; Clinton Fookes (CoRR, 2025)

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 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data. - Shaheer Mohamed; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (CoRR, 2025)

Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection. - Tharindu Fernando; Clinton Fookes; Sridha Sridharan; Simon Denman (CoRR, 2025)

Decoupled and Explainable Associative Memory for Effective Knowledge Propagation. - Tharindu Fernando; Darshana Priyasad; Sridha Sridharan; Clinton Fookes (IEEE Trans. Neural Networks Learn. Syst., 2025)