| Action recognition by single stream convolutional neural networks: An approach using combined motion and static information S Ramasinghe, R Rodrigo 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 101-105, 2015 | 6 | 2015 |
| Abnormal activity recognition using spatio-temporal features KGM Chathuramali, S Ramasinghe, R Rodrigo 7th International Conference on Information and Automation for …, 2014 | 3 | 2014 |
| Recognition of badminton strokes using dense trajectories S Ramasinghe, KGM Chathuramali, R Rodrigo 7th International Conference on Information and Automation for …, 2014 | 3 | 2014 |
| Combined static and motion features for deep-networks based activity recognition in videos S Ramasinghe, J Rajasegaran, V Jayasundara, K Ranasinghe, ... IEEE Transactions on Circuits and Systems for Video Technology, 2017 | 2 | 2017 |
| Volumetric convolution: Automatic representation learning in unit ball S Ramasinghe, S Khan, N Barnes arXiv preprint arXiv:1901.00616, 2019 | 1 | 2019 |
| A Context-aware Capsule Network for Multi-label Classification S Ramasinghe, CD Athuraliya, SH Khan Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 1 | 2018 |
| Deep semantic segmentation for built-up area extraction and mapping from satellite imagery CD Athuraliya, S Ramasinghe, S Lokanathan | 1 | 2018 |
| Micro Actions and Deep Static Features for Activity Recognition S Ramasinghe, J Rajasegaran, V Jayasundara, K Ranasinghe, ... 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 1 | 2017 |
| Activity recognition combined with scene context and action sequence SC Ramasinghe | | 2019 |
| Poster: Advanced Feature Based Deep Learning for Intelligent Human Activity Recognition: An Approach using Scene Context and Composition of Sub Events. S Ramasinghe Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016 | | 2016 |
Ranga RodrigoSenior Lecturer, Univeristy of MoratuwaVerified email at uom.lk