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ORCIDTharindu Fernando
Warnakulasuriya Tharindu Romesh Fernando
Person information
- affiliation: Queensland University of Technology, Brisbane, Australia
- affiliation: University of Peradeniya, Sir Lanka
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Journal Articles
- 2024
[j24]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: 7386-7409 (2024)- [j23]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: 1-14 (2024) - 2023
- [j22]Amir Taghvaie, Warnakulasuriya Tharindu Romesh Fernando, Dinesh Kumar, Firuz Zare, Rahul Sharma, D. Mahinda Vilathgamuwa:
A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning. IEEE Access 11: 31417-31442 (2023) - [j21]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: 109440 (2023) - [j20]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: 1-12 (2023) - [j19]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): 968-979 (2023) - 2022
- [j18]Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Deep Learning for Medical Anomaly Detection - A Survey. ACM Comput. Surv. 54(7): 141:1-141:37 (2022) - [j17]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: 109038 (2022) - [j16]Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes:
Split 'n' merge net: A dynamic masking network for multi-task attention. Pattern Recognit. 126: 108551 (2022) - [j15]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): 527-538 (2022) - [j14]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): 2898-2908 (2022) - 2021
- [j13]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory based fusion for multi-modal deep learning. Inf. Fusion 67: 136-146 (2021) - [j12]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): 87-96 (2021) - [j11]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes:
Domain Generalization in Biosignal Classification. IEEE Trans. Biomed. Eng. 68(6): 1978-1989 (2021) - [j10]Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan:
Detection of Fake and Fraudulent Faces via Neural Memory Networks. IEEE Trans. Inf. Forensics Secur. 16: 1973-1988 (2021) - [j9]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): 69-76 (2021) - [j8]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): 2162-2171 (2021) - 2020
- [j7]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: 67-81 (2020) - [j6]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: 1159-1169 (2020) - [j5]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): 1601-1609 (2020) - [j4]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): 1785-1797 (2020) - 2018
- [j3]Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes:
Tree Memory Networks for modelling long-term temporal dependencies. Neurocomputing 304: 64-81 (2018) - [j2]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection. Neural Networks 108: 466-478 (2018) - 2015
- [j1]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)
Conference and Workshop Papers
- 2023
- [c15]Darshana Prisayad, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes:
Dual Memory Fusion for Multimodal Speech Emotion Recognition. INTERSPEECH 2023: 4543-4547 - 2022
- [c14]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: 2848-2852 - 2021
- [c13]Sutharsan Mahendren, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes:
Reduction of Feature Contamination for Hyper Spectral Image Classification. DICTA 2021: 1-8 - 2020
- [c12]David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Seizure Type Classification. EMBC 2020: 569-575 - [c11]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Attention Driven Fusion for Multi-Modal Emotion Recognition. ICASSP 2020: 3227-3231 - 2019
- [c10]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: 1179-1187 - [c9]Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. WACV 2019: 200-209 - 2018
- [c8]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. ACCV (1) 2018: 314-330 - [c7]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. AAMAS 2018: 113-121 - [c6]Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman:
Deep Decision Trees for Discriminative Dictionary Learning With Adversarial Multi-Agent Trajectories. CVPR Workshops 2018: 1722-1731 - [c5]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. ECML/PKDD (1) 2018: 241-256 - [c4]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking. WACV 2018: 1122-1132 - [c3]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. WACV 2018: 1539-1548 - 2017
- [c2]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Going Deeper: Autonomous Steering with Neural Memory Networks. ICCV Workshops 2017: 214-221 - 2015
- [c1]Tharindu Fernando, Harshala Gammulle, Chamila Walgampaya:
Fuzzy logic based mobile robot target tracking in dynamic hostile environment. CIVEMSA 2015: 1-6
Informal and Other Publications
- 2023
- [i29]Kien Nguyen Thanh, Tharindu Fernando, Clinton Fookes, Sridha Sridharan:
Physical Adversarial Attacks for Surveillance: A Survey. CoRR abs/2305.01074 (2023) - [i28]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 abs/2305.11394 (2023) - [i27]Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. CoRR abs/2309.09431 (2023) - 2022
- [i26]Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan:
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images. CoRR abs/2204.01952 (2022) - [i25]Tharindu Fernando, Clinton Fookes, Sridha Sridharan, Dana Michalski:
Using Auxiliary Information for Person Re-Identification - A Tutorial Overview. CoRR abs/2211.08565 (2022) - 2021
- [i24]Tharindu Fernando, Sridha Sridharan, Simon Denman, Houman Ghaemmaghami, Clinton Fookes:
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. CoRR abs/2106.15835 (2021) - [i23]Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes:
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis. CoRR abs/2108.03786 (2021) - 2020
- [i22]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 abs/2004.01546 (2020) - [i21]Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes:
Heart Sound Segmentation using Bidirectional LSTMs with Attention. CoRR abs/2004.03712 (2020) - [i20]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes:
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection. CoRR abs/2005.10480 (2020) - [i19]Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Based Attentive Fusion. CoRR abs/2007.08076 (2020) - [i18]Darshana Priyasad, Tharindu Fernando, Simon Denman, Clinton Fookes, Sridha Sridharan:
Attention Driven Fusion for Multi-Modal Emotion Recognition. CoRR abs/2009.10991 (2020) - [i17]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers. CoRR abs/2011.05438 (2020) - [i16]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes:
Domain Generalization in Biosignal Classification. CoRR abs/2011.06207 (2020) - [i15]Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Patient-independent Epileptic Seizure Prediction using Deep Learning Models. CoRR abs/2011.09581 (2020) - [i14]Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Deep Learning for Medical Anomaly Detection - A Survey. CoRR abs/2012.02364 (2020) - 2019
- [i13]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis. CoRR abs/1901.05123 (2019) - [i12]Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation. CoRR abs/1909.09283 (2019) - [i11]Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes:
Neural Memory Plasticity for Anomaly Detection. CoRR abs/1910.05448 (2019) - [i10]Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan:
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks. CoRR abs/1911.07844 (2019) - [i9]David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Robust Classification of Seizure Type. CoRR abs/1912.04968 (2019) - 2018
- [i8]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Tracking by Prediction: A Deep Generative Model for Mutli-Person localisation and Tracking. CoRR abs/1803.03347 (2018) - [i7]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. CoRR abs/1803.03354 (2018) - [i6]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. CoRR abs/1805.04969 (2018) - [i5]Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman:
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories. CoRR abs/1805.05009 (2018) - [i4]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. CoRR abs/1807.08381 (2018) - [i3]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. CoRR abs/1812.07667 (2018) - 2017
- [i2]Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection. CoRR abs/1702.05552 (2017) - [i1]Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes:
Tree Memory Networks for Modelling Long-term Temporal Dependencies. CoRR abs/1703.04706 (2017)
Coauthor Index
[j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c15] [c14] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i28] [i26] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j24] [j23] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j24] [j23] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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