| SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks A Abedin, SH Rezatofighi, Q Shi, DC Ranasinghe International Joint Conference on Artificial Intelligence (IJCAI19), 5780-5786, 2019 | 328* | 2019 |
| Joint learning of Social Groups, Individuals Action and Sub-group Activities in Videos M Ehsanpour, A Abedin, F Saleh, J Shi, I Reid, H Rezatofighi European Conference On Computer Vision (ECCV20), 2020 | 72 | 2020 |
| Attend and discriminate: Beyond the state-of-the-art for human activity recognition using wearable sensors A Abedin, M Ehsanpour, Q Shi, H Rezatofighi, DC Ranasinghe Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 60 | 2021 |
| Deep auto-set: A deep auto-encoder-set network for activity recognition using wearables A Abedin, E Abbasnejad, Q Shi, DC Ranasinghe, H Rezatofighi Proceedings of the 15th EAI International Conference on Mobile and …, 2018 | 49* | 2018 |
| Towards Deep Clustering of Human Activities from Wearables A Abedin, F Motlagh, Q Shi, H Rezatofighi, DC Ranasinghe Proceedings of the International Symposium on Wearable Computers (ISWC20), 2020 | 23 | 2020 |
| A distributed joint power control and mode selection scheme for D2D-enabled cellular systems A Abedin, M Rasti 2016 IEEE Symposium on Computers and Communication (ISCC), 1284-1289, 2016 | 10 | 2016 |
| Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables A Abedin, H Rezatofighi, DC Ranasinghe arXiv preprint arXiv:2110.05732, 2021 | 3 | 2021 |
| Deep Learning Methods for Human Activity Recognition using Wearables A Abedin | | 2020 |
Hamid RezatofighiAssistant Professor, Monash University, Melbourne, AustraliaVerified email at monash.edu
