Browse By Person: Gammulle, Harshala
 | Up a level |
Group by: Date | Item Type
Number of items: 28.
2026
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.
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.
18
18
Hughes, Harry, Lucey, Patrick, Horton, Michael, Gammulle, Harshala, Fookes, Clinton, & Sridharan, Sridha
(2026)
Multimodal transformer-diffusion framework for large-scale reconstruction of soccer tracking data.
Computer Vision and Image Understanding, 264, Article number: 104626.
1
1
1
1
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.
1
1
2025
Hughes, Harry, Horton, Michael, Wei, Xinyu, Gammulle, Harshala, Fookes, Clinton, Sridharan, Sridha, & Lucey, Patrick
(2025)
Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context.
In
Walsh, Toby, Shah, Julie, & Kolter, Zico (Eds.) Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence.
Association for the Advancement of Artificial Intelligence (AAAI) Press, United States of America, pp. 11843-11851.
2
2
Alzubaidi, Laith, Jebur, Sabah Abdulazeez, Jaber, Tanya Abdulsattar, Mohammed, Mohanad A., Alwzwazy, Haider A., Saihood, Ahmed, Gammulle, Harshala, Santamaria, Jose, Duan, Ye, Fookes, Clinton, Jurdak, Raja, & Gu, Yuantong
(2025)
ATD Learning: A secure, smart, and decentralised learning method for big data environments.
Information Fusion, 118, Article number: 102953.
20
14
20
14
Arambawatta Lekamge, Savinda, Jayaratne, Rohan, Fookes, Clinton, Gammulle, Harshala, & Morawska, Lidia
(2025)
Dual-Function Smoke Alarms: Revolutionising Fire Detection with PM2.5 Monitoring for Improved Indoor Air Quality. In
2025 Indoor Air Quality Conference, 2025-05-26 - 2025-05-27, Melbourne, Australia.
43
43
Lekamge, Savinda Arambawatta, Jayaratne, Rohan, Fookes, Clinton, Gammulle, Harshala, & Morawska, Lidia
(2025)
Dual-Purpose Smoke Alarms: Integrating low-cost PM2.5 sensors for combined fire detection and indoor air quality monitoring.
Aerosol Science and Technology, 59(10), pp. 1239-1249.
340
1
1
340
1
1
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.
69
1
1
69
1
1
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.
2024
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.
6
4
6
4
2023
Gammulle, Harshala, Ahmedt-Aristizabal, David, Denman, Simon, Tychsen-Smith, Lachlan, Petersson, Lars, & Fookes, Clinton
(2023)
Continuous Human Action Recognition for Human-machine Interaction: A Review.
ACM Computing Surveys, 55(13 s), Article number: 272.
54
43
54
43
Wei, Pengbo, Ahmedt-Aristizabal, David, Gammulle, Harshala, Denman, Simon, & Armin, Mohammad Ali
(2023)
Vision-based activity recognition in children with autism-related behaviors.
Heliyon, 9(6), Article number: e16763.
56
33
56
33
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.
97
19
12
97
19
12
2022
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.
373
287
373
287
2021
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.
4
4
Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2021)
TMMF: Temporal Multi-modal Fusion for Single-Stage Continuous Gesture Recognition.
IEEE Transactions on Image Processing, 30, Article number: 9528969 7689-7701.
45
40
45
40
2020
Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2020)
Hierarchical Attention Network for Action Segmentation.
Pattern Recognition Letters, 131, pp. 442-448.
119
6
5
119
6
5
Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2020)
Fine-grained action segmentation using the semi-supervised action GAN.
Pattern Recognition, 98, Article number: 107039.
124
43
31
124
43
31
Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2020)
Two-stream deep feature modelling for automated video endoscopy data analysis.
In
Martel, Anne L., Abolmaesumi, Purang, Stoyanov, Danail, Mateus, Diana, Zuluaga, Maria A., Zhou, S. Kevin, et al. (Eds.) Medical Image Computing and Computer Assisted Intervention - MICCAI 2020: 23rd International Conference, Proceedings, Part III.
Springer, Switzerland, pp. 742-751.
142
17
142
17
2019
Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2019)
Predicting the future: A jointly learnt model for action anticipation.
In
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV 2019).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 5561-5570.
188
75
66
188
75
66
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.
342
26
20
342
26
20
Gammulle, Pranali Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2019)
Multi-level sequence GAN for group activity recognition.
In
Mori, Greg, Jawahar, C.V., Li, Hongdong, & Schindler, Konrad (Eds.) Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers.
Springer, Switzerland, pp. 331-346.
199
34
15
199
34
15
Gammulle, Pranali Harshala
(2019)
Deep learning for human action understanding.
PhD
thesis,
Queensland University of Technology.
222
222
Gammulle, Pranali, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2019)
Forecasting Future Action Sequences with Neural Memory Networks.
In
Proceedings of the 30th British Machine Vision Conference 2019, BMVC 201.
British Machine Vision Association, United Kingdom, pp. 1-12.
21
21
2017
Gammulle, Pranali Harshala, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton
(2017)
Two stream LSTM: A deep fusion framework for human action recognition.
In
Turk, M, Brown, M S, Feris, R, & Sanderson, C (Eds.) Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision (WACV 2017).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 177-186.
228
198
150
228
198
150
2015
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.
10
10