Takip et
Harshala Gammulle
Harshala Gammulle
Queensland University of Technology
qut.edu.au üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Deep Learning for Medical Anomaly Detection--A Survey
T Fernando, H Gammulle, S Denman, S Sridharan, C Fookes
ACM Computing Surveys (CSUR), 2021
3182021
Two stream lstm: A deep fusion framework for human action recognition
H Gammulle, S Denman, S Sridharan, C Fookes
2017 IEEE winter conference on applications of computer vision (WACV), 177-186, 2017
2232017
Predicting the future: A jointly learnt model for action anticipation
H Gammulle, S Denman, S Sridharan, C Fookes
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1152019
TMMF: Temporal multi-modal fusion for single-stage continuous gesture recognition
H Gammulle, S Denman, S Sridharan, C Fookes
IEEE Transactions on Image Processing 30, 7689-7701, 2021
472021
Fine-grained action segmentation using the semi-supervised action GAN
H Gammulle, S Denman, S Sridharan, C Fookes
Pattern Recognition 98, 107039, 2020
462020
Forecasting future action sequences with neural memory networks
H Gammulle, S Denman, S Sridharan, C Fookes
The British Machine Vision Conference (BMVC) 2019, 2019
392019
Multi-level sequence GAN for group activity recognition
H Gammulle, S Denman, S Sridharan, C Fookes
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
352019
Vision-based activity recognition in children with autism-related behaviors
P Wei, D Ahmedt-Aristizabal, H Gammulle, S Denman, MA Armin
Heliyon 9 (6), 2023
322023
Continuous Human Action Recognition for Human-Machine Interaction: A Review
H Gammulle, D Ahmedt-Aristizabal, S Denman, L Tychsen-Smith, ...
ACM Computing Surveys (CSUR), 2023
302023
Coupled generative adversarial network for continuous fine-grained action segmentation
H Gammulle, T Fernando, S Denman, S Sridharan, C Fookes
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 200-209, 2019
282019
Deep Learning for Medical Anomaly Detection-A Survey.
T Fernando, H Gammulle, S Denman, S Sridharan, C Fookes
ACM Comput. Surv. 54 (7), 141:1-141:37, 2022
232022
Two-stream deep feature modelling for automated video endoscopy data analysis
H Gammulle, S Denman, S Sridharan, C Fookes
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
182020
Fuzzy logic based mobile robot target tracking in dynamic hostile environment
T Fernando, H Gammulle, C Walgampaya
2015 IEEE International Conference on Computational Intelligence and Virtual …, 2015
15*2015
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images
T Fernando, C Fookes, H Gammulle, S Denman, S Sridharan
IEEE Transactions on Geoscience and Remote Sensing, 2023
102023
Hierarchical Attention Network for Action Segmentation
H Gammulle, S Denman, S Sridharan, C Fookes
Pattern Recognition Letters 131, 442-448, 2020
62020
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
H Gammulle, T Fernando, S Sridharan, S Denman, C Fookes
IEEE International Conference on Autonomous Systems 2021, 2021
42021
ATD Learning: A secure, smart, and decentralised learning method for big data environments
L Alzubaidi, SA Jebur, TA Jaber, MA Mohammed, HA Alwzwazy, ...
Information Fusion, 102953, 2025
12025
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
T Fernando, H Gammulle, S Sridharan, S Denman, C Fookes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
12024
Physics Augmented Tuple Transformer for Autism Severity Level Detection
C Ranasingha, H Gammulle, T Fernando, S Sridharan, C Fookes
IEEE Sensors Journal, 2024
2024
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification
H Gammulle, Y Chen, S Sridharan, T Klein, C Fookes
arXiv preprint arXiv:2308.08731, 2023
2023
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