Fuzzy logic based mobile robot target tracking in dynamic hostile environment. - Tharindu Fernando; Harshala Gammulle; Chamila Walgampaya (CIVEMSA, 2015)

Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2017)

Multi-level Sequence GAN for Group Activity Recognition. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (ACCV (1), 2018)

Forecasting Future Action Sequences with Neural Memory Networks. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (BMVC, 2019)

Predicting the Future: A Jointly Learnt Model for Action Anticipation. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (ICCV, 2019)

Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. - Harshala Gammulle; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (WACV, 2019)

Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (MICCAI (3), 2020)

Multi-modal Fusion for Single-Stage Continuous Gesture Recognition. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

Fine-grained action segmentation using the semi-supervised action GAN. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (Pattern Recognit., 2020)

Hierarchical Attention Network for Action Segmentation. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (Pattern Recognit. Lett., 2020)

Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis. - Harshala Gammulle; Tharindu Fernando; Sridha Sridharan; Simon Denman; Clinton Fookes (CoRR, 2021)

TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition. - Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE Trans. Image Process., 2021)

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

Vision-Based Activity Recognition in Children with Autism-Related Behaviors. - Pengbo Wei; David Ahmedt-Aristizabal; Harshala Gammulle; Simon Denman; Mohammad Ali Armin (CoRR, 2022)

Deep Learning for Medical Anomaly Detection - A Survey. - Tharindu Fernando; Harshala Gammulle; Simon Denman; Sridha Sridharan; Clinton Fookes (ACM Comput. Surv., 2022)

Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification. - Harshala Gammulle; Yubo Chen 006; Sridha Sridharan; Travis Klein; Clinton Fookes (CoRR, 2023)

Continuous Human Action Recognition for Human-machine Interaction: A Review. - Harshala Gammulle; David Ahmedt-Aristizabal; Simon Denman; Lachlan Tychsen-Smith; Lars Petersson; Clinton Fookes (ACM Comput. Surv., 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)

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

Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context. - Harry Hughes; Michael Horton 005; Xinyu Wei; Harshala Gammulle; Clinton Fookes; Sridha Sridharan; Patrick Lucey (AAAI, 2025)

ATD Learning: A secure, smart, and decentralised learning method for big data environments. - Laith Alzubaidi; Sabah Abdulazeez Jebur; Tanya Abdulsattar Jaber; Mohanad A. Mohammed; Haider A. Alwzwazy; Ahmed Saihood; Harshala Gammulle; José Santamaría; Ye Duan; Clinton Fookes; Raja Jurdak; Yuantong Gu (Inf. Fusion, 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)