Browse By Person: Fernando, Tharindu

Ranasingha, Chinthaka, Fernando, Tharindu, Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2026) Contrastive context distillation for skeleton based early action prediction. Expert Systems with Applications, 328, Article number: 132886.

Zhao, Bingnan, Gammulle, Harshala, Fernando, Tharindu, Fookes, Clinton, & Morawska, Lidia (2026) Optimizing indoor air quality in HVAC systems using deep reinforcement learning with multi-objective dynamic weight reward function. Building and Environment, 303, Article number: 114917.

Fernando, Tharindu, Fookes, Clinton, & Sridharan, Sridha (2026) DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Adversarial Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Obschonka, Martin, Fisch, Christian, Beliaeva, Tatiana, Ben Jabeur, Sami, Fernando, Tharindu, & Fookes, Clinton (2026) Visual artificial intelligence as a methodological frontier in entrepreneurship research: a roadmap and empirical demonstration. Small Business Economics, 67(2), pp. 1195-1222.

Perlo, Virginie, Fernando, Tharindu, Flintoff, Jonathan M, Perera, Muthukuttige Madusha Nuwanthi, Ahamed, Sarah, Schmidt, Luke, Broszczak, Daniel, Fookes, Clinton, Frentiu, Francesca D, Hunt, Andrew P, Lipp, Ottmar V, Ney, Luke J, Pandey, Ajay K, Pandit, Parth, Ali, Shahnewaz, Peake, Jonathan M, Punyadeera, Chamindie, Stewart, Ian, Sullivan, Karen A, Kerr, Graham, Parker, Tony J., & Mengersen, Kerrie (2026) A data-informed multidimensional composite score for stress assessment. Acta Psychologica, 267, Article number: 107168.

Ganeshaaraj, G., Fernando, Tharindu, Sridharan, Sridha, & Fookes, Clinton (2026) Enhancing predictive performance on long-tail trajectories via clustering and specialized decoders. Pattern Recognition, 171(Part B), Article number: 112315.

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Zhao, Bingnan, Gammulle, Harshala, Warnakulasuriya, Tharindu Fernando, Fookes, Clinton, & Morawska, Lidia (2026) Deep Reinforcement Learning for Optimizing Indoor Air Quality in HVAC Intelligent Control. In International Conference on Indoor Air Quality and Climate (Indoor Air) 2026, 2026-06-14 - 2026-06-18, Singapore , Singapore.

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Omrani, Sara, Patel, Hamesh, Jayaratne, Rohan, Larbi, Martin, Warnakulasuriya, Tharindu Fernando, Adotey, Enoch, McGarry, Peter, Gupta, Udita, Zhao, Bingnan, Drogemuller, Robin, Hupkes, Justine, & Morawska, Lidia (2026) The First Real-World Example of Dynamic Implementation of Standards and Management of Indoor Air Quality in a Public Building. In International Conference on Indoor Air Quality and Climate (Indoor Air) 2026, 2026-06-14 - 2026-06-18, Singapore , Singapore.

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Priyasad, Darshana, Fernando, Tharindu, Haghighat, Maryam, Gammulle, Harshala, Del Prete, Roberto, & Fookes, Clinton (2026) Two-stage offline knowledge distillation for onboard registration of multispectral satellite images. ISPRS Journal of Photogrammetry and Remote Sensing, 232, pp. 319-335.

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Dissanayake, Nethmi, Fernando, Tharindu, Gunasekara, Aveesha, Sridharan, Sridha, & Fookes, Clinton (2025) Multi-resolution and Multi-modal Feature Integration using Graph Neural Networks for Optical Coherence Tomography Image Classification. In Proceedings - 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1-7.

Parmonangan, Ivan Halim, Fernando, Tharindu, & Denman, Simon (2025) Robust ECG Classification using Mamba and Self-Supervised Representation Learning. In Proceedings - 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1-7.

Fernando, Tharindu, Priyasad, Darshana, Sridharan, Sridha, & Fookes, Clinton (2025) Decoupled and Explainable Associative Memory for Effective Knowledge Propagation. IEEE Transactions on Neural Networks and Learning Systems, 36(7), 13204 -13218.

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Perlo, Virginie, Perera, Madusha, Parker, Tony, Kerr, Graham, Hunt, Andrew, Warnakulasuriya, Tharindu Fernando, Fookes, Clinton, Broszczak, Daniel, Punyadeera, Chamindie, Sullivan, Karen, Lipp, Ottmar, Peake, Jonathan, Stewart, Ian, Edmed, Shannon L., Pattinson, Cassandra, Smith, Simon, Flintoff, Jonathan, Ahamed, Sarah, Schmidt, Luke, & Mengersen, Kerrie (2025) Integrative Analysis of Gut Microbiome and Multimodal Stress Responses: Unveiling the Interplay Between Biological, Cognitive, and Physical Factors for Early Stress Detection. In 46th Lorne Genome Conference 2025, 2025-02-16 - 2025-02-19, lORNE, Australia.

Flintoff, Jonathan M., Pattinson, Cassandra, Ahamed, Sarah, Ali, Shahnewaz, Bagley, Angus, Broszczak, Daniel, Crewther, Blair, de Waal, Louis, Edmed, Shannon L., Fernando, Tharindu, Fookes, Clinton, Frentiu, Francesca D, Hunt, Andrew P, Lipp, Ottmar V, McMaster, Ben, Mengersen, Kerrie, Ney, Luke, Oon, Senn L, Pandey, Ajay, Pandit, Parth, Peake, Jonathan M, Perera, Muthukuttige Madusha Nuwanthi, Perlo, Virginie, Punyadeera, Chamindie, Schmidt, Luke, Smith, Simon S., Spann, Kirsten, Stewart, Ian, Sullivan, Karen A, Young, Danielle, Kerr, Graham, & Parker, Tony J (2025) Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system. BMJ Open Sport and Exercise Medicine, 11(1), Article number: e002410.

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Mohamed, Shaheer, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman, & Fookes, Clinton (2025) Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data. In Proceedings - IGARSS 2025 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 2440-2444.

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Taghvaie, Amir, Fernando, Tharindu, Zare, Firuz, Kumar, Dinesh, & Fookes, Clinton (2025) An Online Harmonic Estimation Technique Based on Deep Learning in Distribution Networks. IEEE Journal of Emerging and Selected Topics in Power Electronics, 13(3), pp. 3688-3697.

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Mahendren, Sutharsan, Rahman, Saimunur, Koniusz, Piotr, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton, & Moghadam, Peyman (2025) Point-PNG: Conditional Pseudo-Negatives Generation for Point-Cloud Pre-Training. IEEE Access, 13, pp. 208612-208625.

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Fernando, Tharindu, Gammulle, Harshala, Sridharan, Sridha, Denman, Simon, & Fookes, Clinton (2025) Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(3), pp. 1941-1957.

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Priyasad, Darshana, Fernando, Tharindu, Haghighat, Maryam, Gammulle, Harshala, & Fookes, Clinton (2025) Transforming Volcanic Monitoring: A Dataset and Benchmark for Onboard Volcano Activity Detection. In Proceedings - IGARSS 2025 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 5842-5846.

Perlo, Virginie, Perera, Madusha, Parker, Tony, Kerr, Graham, Hunt, Andrew, Fookes, Clinton, Broszczak, Daniel, Sullivan, Karen, Lipp, Ottmar, Peake, Jonathan, Stewart, Ian, Edmed, Shannon L., Pattinson, Cassandra, Smith, Simon S., Punyadeera, Chamindie, Flintoff, Jonathan, Ahamed, Sarah, Schmidt, Luke, Warnakulasuriya, Tharindu Fernando, & Mengersen, Kerrie (2024) Integrative Multi-Omics Workflow to Elucidate Stress and Performance, using Machine Learning and Causality Model. In 2024 Multi-Omics Meeting, 2024-12-01 - 2024-12-03, Brisbane, Australia.

Nguyen, Kien, Fernando, Tharindu, Fookes, Clinton, & Sridharan, Sridha (2024) Physical Adversarial Attacks for Surveillance: A Survey. IEEE Transactions on Neural Networks and Learning Systems, 35(12), pp. 17036-17056.

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Kieu, Nhi, Nguyen, Kien, Nazib, Abdullah, Fernando, Tharindu, Fookes, Clinton, & Sridharan, Sridha (2024) Multimodal Co-Learning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, Article number: 10474099 7386-7409.

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Perlo, Virginie, Mengersen, Kerrie, Ahamed, Sarah, Broszczak, Daniel, Edmed, Shannon, Warnakulasuriya, Tharindu Fernando, Flintoff, Jonathan, Fookes, Clinton, Hunt, Andrew, Kerr, Graham, Lipp, Ottmar, Pattinson, Cassandra, Parker, Tony, Perera, Madusha, Peake, Jonathan, Smith, Simon, Stewart, Ian, & Sullivan, Karen (2024) Multivariable analysis using Bayesian model on complex physical and psychological datasets across different stress trials: [Poster]. In Bayesian Statistical Conference, 2024-02-05 - 2024-02-07, Gold Coast, Australia. (Unpublished)

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Mohamed, Shaheer, Haghighat, Maryam, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton, & Moghadam, Peyman (2024) FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. IEEE Transactions on Geoscience and Remote Sensing, 62, Article number: 5501614.

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Ranasingha, Chinthaka, Gammulle, Harshala, Fernando, Tharindu, Sridharan, Sridha, & Fookes, Clinton (2024) Physics Augmented Tuple Transformer for Autism Severity Level Detection. IEEE Sensors Journal, 24(23), pp. 39981-39991.

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Perera, Madusha, Bagley, Angus, Young, Dani, Schmidt, Luke, Parker, Tony, Perlo, Virginie, Oon, Senn, Ahamed, Sarah, Edmed, Shannon L., Ali, Shahnewaz, Warnakulasuriya, Tharindu Fernando, Fookes, Clinton, Frentiu, Francesca, McMaster, Benjamin, Hunt, Andrew, Kerr, Graham, Lipp, Ottmar, Mengersen, Kerrie, Ney, Luke, Pandey, Ajay, Pandit, Parth Gurudatt, Pattinson, Cassandra, Peake, Jonathan, Smith, Simon, Spann, Kirsten, Stewart, Ian, Sullivan, Karen, & Punyadeera, Chamindie (2024) Salivary microRNA signature to predict performance in high-pressure work environments. In 2024 Multi-Omics Meeting, 2024-12-01 - 2024-12-03, Brisbane, Australia.

Mohamed, Shaheer, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman, & Fookes, Clinton (2024) Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking. In Proceedings of the 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Institute of Electrical and Electronics Engineers Inc., United States of America.

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Perlo, Virginie, Oon, Senn, Parker, Tony, Hunt, Andrew, Fookes, Clinton, Warnakulasuriya, Tharindu Fernando, Kerr, Graham, Broszczak, Daniel, Perera, Madusha, Flintoff, Jonathan, Schmidt, Luke, Ahamed, Sarah, de Waal, Louis, McMaster, Benjamin, Bagley, Angus, Young, Dani, Pattinson, Cassandra, Smith, Simon, Sullivan, Karen, Lipp, Ottmar, Peake, Jonathan, Stewart, Ian, Pandey, Ajay, Crewther, Blair, Punyadeera, Chamindie, Cook, Christian, Frentiu, Francesca, Bowman, Henry, Spann, Kirsten, Ney, Luke, Pandit, Parth Gurudatt, Ali, Shahnewaz, & Mengersen, Kerrie (2023) A Data Management Strategy for a Complex Human Performance Project: [Poster]. In Defence Human Sciences Symposium, 2024-01-05 - 2024-01-08, Brisbane, Australia. (Unpublished)

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Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2023) DConv-LSTM-Net: A Novel Architecture for Single and 12-Lead ECG Anomaly Detection. IEEE Sensors Journal, 23(19), pp. 22763-22776.

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Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2023) Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. Pattern Recognition, 139, Article number: 109440.

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Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2023) Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer. IEEE Journal of Biomedical and Health Informatics, 27(2), pp. 968-979.

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Taghvaie, A., Warnakulasuriya, T., Kumar, D., Zare, F., Sharma, R., & Vilathgamuwa, M. (2023) A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning. IEEE Access, 11, pp. 31417-31442.

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Priyasad, Darshana, Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, & Fookes, Clinton (2023) Dual Memory Fusion for Multimodal Speech Emotion Recognition. In Proceedings of Interspeech 2023. International Speech and Communication Association (ISCA), France, pp. 4543-4547.

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Fernando, Tharindu, Fookes, Clinton, Gammulle, Harshala, Denman, Simon, & Sridharan, Sridha (2023) Toward On-Board Panoptic Segmentation of Multispectral Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 61, Article number: 5402312.

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Fernando, Tharindu, Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2022) Deep Learning for Medical Anomaly Detection: A Survey. ACM Computing Surveys, 54(7), Article number: 141.

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Priyasad, Darshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2022) Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion. Knowledge-Based Systems, 250, Article number: 109038.

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Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, Ghaemmaghami, Houman, & Fookes, Clinton (2022) Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. IEEE Journal of Biomedical and Health Informatics, 26(7), pp. 2898-2908.

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Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, & Fookes, Clinton (2022) Split 'n' merge net: A dynamic masking network for multi-task attention. Pattern Recognition, 126, Article number: 108551.

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Thilakasiri Dissanayakage, Pubudu Theekshana Dissanayake, Warnakulasuriya, Tharindu Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2022) Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction using Scalp EEG Signals. IEEE Journal of Biomedical and Health Informatics, 26(2), pp. 527-538.

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Priyasad, Darshana, Partovi, Andi, Sridharan, Sridha, Kashefpoor, Maryam, Fernando, Tharindu, Denman, Simon, Fookes, Clinton, Tang, Jia, & Kaye, David (2022) Detecting Heart Failure Through Voice Analysis using Self-Supervised Mode-Based Memory Fusion. In Proceedings of the 23rd INTERSPEECH Conference. International Speech Communication Association, France, pp. 2848-2852.

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Priyasad, Darshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2021) Interpretable Seizure Classification Using Unprocessed EEG with Multi-Channel Attentive Feature Fusion. IEEE Sensors Journal, 21(17), pp. 19186-19197.

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Gammulle, Harshala, Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, & Fookes, Clinton (2021) Multi-slice net: A novel light weight framework for COVID-19 diagnosis. In Proceedings of the 2021 IEEE International Conference on Autonomous Systems (ICAS). Institute of Electrical and Electronics Engineers Inc., United States of America.

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Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Ghaemmaghami, Houman, Sridharan, Sridha, & Fookes, Clinton (2021) Domain Generalization in Biosignal Classification. IEEE Transactions on Biomedical Engineering, 68(6), pp. 1978-1989.

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Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, Ghaemmaghami, Houman, & Fookes, Clinton (2021) A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection without Segmentation. IEEE Journal of Biomedical and Health Informatics, 25(6), pp. 2162-2171.

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Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2021) Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals. IEEE Sensors Journal, 21(7), pp. 9377-9388.

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Priyasad, Darshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2021) Memory based fusion for multi-modal deep learning. Information Fusion, 67, pp. 136-146.

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Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2021) Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion. IEEE Signal Processing Magazine, 38(1), Article number: 9307325 87-96.

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Ahmedt Aristizabal, David, Fernando, Tharindu, Denman, Simon, Robinson, Jonathan Edward, Sridharan, Sridha, Johnston, Patrick J, Laurens, Kristin R, & Fookes, Clinton (2021) Identification of children at risk of schizophrenia via deep learning and EEG responses. IEEE Journal of Biomedical and Health Informatics, 25(1), Article number: 9070217 69-76.

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Fernando, Tharindu, Fookes, Clinton, Denman, Simon, & Sridharan, Sridha (2021) Detection of Fake and Fraudulent Faces via Neural Memory Networks. IEEE Transactions on Information Forensics and Security, 16, Article number: 9309253 1973-1988.

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Mahendren, Sutharsan, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman, & Fookes, Clinton (2021) Reduction of Feature Contamination for Hyper Spectral Image Classification. In Zhou, Jun, Salvado, Olivier, Sohel, Ferdous, Borges, Paulo Vinicius K., & Wang, Shilin (Eds.) Proceedings of the 2021 International Conference on Digital Image Computing: Techniques and Applications. Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 49-56.

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Warnakulasuriya, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2020) Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis. IEEE Transactions on Knowledge and Data Engineering, 32(9), Article number: 8691787 1785-1797.

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Ahmedt-Aristizabal, David, Fernando, Tharindu, Denman, Simon, Petersson, Lars, Aburn, Matthew J., & Fookes, Clinton (2020) Neural memory networks for seizure type classification. In Proceedings of the 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Enabling Innovative Technologies for Global Healthcare. Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 569-575.

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Fernando, Tharindu, Denman, Simon, Ahmedt-Aristizabal, David, Sridharan, Sridha, Laurens, Kristin R., Johnston, Patrick, & Fookes, Clinton (2020) Neural memory plasticity for medical anomaly detection. Neural Networks, 127, pp. 67-81.

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Warnakulasuriya, Tharindu, Ghaemmaghami, Houman, Denman, Simon, Sridharan, Sridha, Hussain, Nayyar, & Fookes, Clinton (2020) Heart Sound Segmentation using Bidirectional LSTMs with Attention. IEEE Journal of Biomedical and Health Informatics, 24(6), Article number: 8883031 1601-1609.

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Madduma Kankanamalage Don, Darshana Priyasad, Warnakulasuriya, Tharindu Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2020) Attention driven fusion for multi-modal emotion recognition. In Proceedings of ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 3227-3231.

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Warnakulasuriya, Tharindu, Sridharan, Sridha, McLaren, Mitchell, Madduma Kankanamalage Don, Darshana Priyasad, Denman, Simon, & Fookes, Clinton (2020) Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection. IEEE Transactions on Audio, Speech and Language Processing, 28, Article number: 9044780 1159-1169.

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Ahmedt Aristizabal, David, Warnakulasuriya, Tharindu, Denman, Simon, Petersson, Lars, Aburn, Matthew J., & Fookes, Clinton (2019) Neural Memory Networks for Robust Classification of Seizure Type. Cornell University Library / arXiv. [Preprint]

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Warnakulasuriya, Tharindu, Fookes, Clinton, Denman, Simon, & Sridharan, Sridha (2019) Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks. Cornell University Library / arXiv. [Preprint]

Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2019) Neighbourhood context embeddings in deep inverse reinforcement learning for predicting pedestrian motion over long time horizons. In Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1179-1187.

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Gammulle, Pranali Harshala, Warnakulasuriya, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2019) Coupled generative adversarial network for continuous fine-grained action segmentation. In Liu, Y, Brown, M, & Milanfar, P (Eds.) Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 200-209.

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Warnakulasuriya, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2019) GD-GAN: Generative adversarial networks for trajectory prediction and group detection in crowds. In Schindler, Konrad, Li, Hongdong, Mori, Greg, & Jawahar, C.V. (Eds.) Computer Vision - ACCV 2018: 14th Asian Conference on Computer Vision, Revised Selected Papers, Part I (Lecture Notes in Computer Science, Volume 11361). Springer, Switzerland, pp. 314-330.

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Warnakulasuriya, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2019) Pedestrian trajectory prediction with structured memory hierarchies. In Bonchi, Francesco, Gartner, Thomas, Hurley, Neil, Ifrim, Georgiana, & Berlingerio, Michele (Eds.) Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Springer, Switzerland, pp. 241-256.

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Warnakulasuriya, Tharindu R. (2019) Context modelling for single and multi agent trajectory prediction. PhD thesis, Queensland University of Technology.

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Madduma Kankanamalage Don, Darshana Priyasad, Warnakulasuriya, Tharindu Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2019) Learning salient features for multimodal emotion recognition with recurrent neural networks and attention based fusion. In Proceedings of the 15th International Conference on Auditory-Visual Speech Processing. International Speech and Communication Association (ISCA), France, pp. 21-26.

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Warnakulasuriya, Tharindu Romesh Fernando, Sridharan, Sridha, Fookes, Clinton, & Denman, Simon (2018) Deep decision trees for discriminative dictionary learning with adversarial multi-agent trajectories. In Proceedings of the 4th IEEE International Workshop on Computer Vision in Sports. Computer Vision Foundation, United States of America, pp. 1835-1844.

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Warnakulasuriya, Tharindu Romesh Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2018) Learning temporal strategic relationships using generative adversarial imitation learning. In Dastani, M & Sukthankar, G (Eds.) Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and Multiagent Systems, United States of America, pp. 113-121.

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Warnakulasuriya, Tharindu, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2018) Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection. Neural Networks, 108, pp. 466-478.

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Warnakulasuriya, Tharindu Romesh Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2018) Task specific visual saliency prediction with memory augmented conditional generative adversarial networks. In Liu, X, Dana, K, & Hasner, T (Eds.) Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision (WACV 2018). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1539-1548.

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Warnakulasuriya, Tharindu Romesh Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2018) Tracking by prediction: A deep generative model for multi-person localisation and tracking. In Liu, X, Dana, K, & Hasner, T (Eds.) Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision (WACV 2018). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1122-1132.

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Warnakulasuriya, Tharindu Romesh Fernando, Denman, Simon, Mcfadyen, Aaron, Sridharan, Sridha, & Fookes, Clinton (2018) Tree memory networks for modelling long-term temporal dependencies. Neurocomputing, 304, pp. 64-81.

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Ahmedt Aristizabal, David, Fookes, Clinton, Denman, Simon, Nguyen Thanh, Kien, Warnakulasuriya, Tharindu, Sridharan, Sridha, & Dionisio, Sasha (2018) A hierarchical multimodal system for motion analysis in patients with epilepsy. Epilepsy and Behavior, 87, pp. 46-58.

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Warnakulasuriya, Tharindu Romesh Fernando, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton (2017) Going deeper: Autonomous steering with neural memory networks. In Sebe, N, Soatto, S, Cucchiara, R, & Matsushita, Y (Eds.) Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). Computer Vision Foundation, Italy, pp. 214-221.

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Fernando, Tharindu, Gammulle, Harshala, & Walgampaya, Chamila (2015) Fuzzy logic based mobile robot target tracking in dynamic hostile environment. In Proceedings of the 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1-6.

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Warnakulasuriya, Tharindu Romesh Fernando, Wei, Xinyu, Fookes, Clinton, Sridharan, Sridha, & Lucey, Patrick (2015) Discovering methods of scoring in soccer using tracking data. In Yue, Y, Lucey, P, Wiens, J, & Morgan, S (Eds.) Proceedings of the 2015 KDD Workshop on Large-Scale Sports Analytics. KDD Workshop on Large-Scale Sports Analytics, http://large-scale-sports-analytics.org/Large-Scale-Sports-Analytics/Submissions2015.html, pp. 1-4.

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Fernando, T. & Pinidiyaarachchi, U. A.J. (2015) A hybrid algorithm for player arm biomechanics evaluation in outdoor sporting activities. International Journal of Computer Science in Sport, 14(1), pp. 69-86.

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