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ORCIDHarshala Gammulle
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2020 – today
- 2024
[i17]Chinthaka Ranasingha, Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Clinton Fookes:
Physics Augmented Tuple Transformer for Autism Severity Level Detection. CoRR abs/2409.18438 (2024)- 2023
- [j6]Harshala Gammulle
, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes:
Continuous Human Action Recognition for Human-machine Interaction: A Review. ACM Comput. Surv. 55(13s): 272:1-272:38 (2023) - [j5]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) - [i16]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) - [i15]Harshala Gammulle, Yubo Chen, Sridha Sridharan, Travis Klein, Clinton Fookes:
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification. CoRR abs/2308.08731 (2023) - 2022
- [j4]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) - [i14]Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes:
Continuous Human Action Recognition for Human-Machine Interaction: A Review. CoRR abs/2202.13096 (2022) - [i13]Tharindu Fernando, Clinton Fookes, Harshala Gammulle, Simon Denman, Sridha Sridharan:
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images. CoRR abs/2204.01952 (2022) - [i12]Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin:
Vision-Based Activity Recognition in Children with Autism-Related Behaviors. CoRR abs/2208.04206 (2022) - 2021
- [j3]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition. IEEE Trans. Image Process. 30: 7689-7701 (2021) - [i11]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
- [j2]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fine-grained action segmentation using the semi-supervised action GAN. Pattern Recognit. 98 (2020) - [j1]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. Pattern Recognit. Lett. 131: 442-448 (2020) - [c7]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. MICCAI (3) 2020: 742-751 - [i10]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. CoRR abs/2005.03209 (2020) - [i9]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. CoRR abs/2007.05914 (2020) - [i8]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition. CoRR abs/2011.04945 (2020) - [i7]Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Deep Learning for Medical Anomaly Detection - A Survey. CoRR abs/2012.02364 (2020)
2010 – 2019
- 2019
- [c6]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. BMVC 2019: 298 - [c5]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. ICCV 2019: 5561-5570 - [c4]Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. WACV 2019: 200-209 - [i6]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fine-grained Action Segmentation using the Semi-Supervised Action GAN. CoRR abs/1909.09269 (2019) - [i5]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. CoRR abs/1909.09278 (2019) - [i4]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) - [i3]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. CoRR abs/1912.07148 (2019) - 2018
- [c3]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-level Sequence GAN for Group Activity Recognition. ACCV (1) 2018: 331-346 - [i2]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-Level Sequence GAN for Group Activity Recognition. CoRR abs/1812.07124 (2018) - 2017
- [c2]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. WACV 2017: 177-186 - [i1]Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition. CoRR abs/1704.01194 (2017) - 2015
- [c1]Tharindu Fernando, Harshala Gammulle, Chamila Walgampaya:
Fuzzy logic based mobile robot target tracking in dynamic hostile environment. CIVEMSA 2015: 1-6
Coauthor Index
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last updated on 2024-10-18 20:28 CEST by the dblp team
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