Sameera Ramasinghe
Sameera Ramasinghe
Graduate student, ANU
Verified email at anu.edu.au
Title
Cited by
Cited by
Year
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
102015
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
72018
Abnormal activity recognition using spatio-temporal features
KGM Chathuramali, S Ramasinghe, R Rodrigo
7th International Conference on Information and Automation for …, 2014
52014
Recognition of badminton strokes using dense trajectories
S Ramasinghe, KGM Chathuramali, R Rodrigo
7th International Conference on Information and Automation for …, 2014
52014
Volumetric convolution: Automatic representation learning in unit ball
S Ramasinghe, S Khan, N Barnes
arXiv preprint arXiv:1901.00616, 2019
42019
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
42017
Blended convolution and synthesis for efficient discrimination of 3d shapes
S Ramasinghe, S Khan, N Barnes, S Gould
The IEEE Winter Conference on Applications of Computer Vision, 21-31, 2020
32020
Representation learning on unit ball with 3d roto-translational equivariance
S Ramasinghe, S Khan, N Barnes, S Gould
International Journal of Computer Vision, 1-23, 2019
32019
Spectral-GANs for High-Resolution 3D Point-cloud Generation
S Ramasinghe, S Khan, N Barnes, S Gould
arXiv preprint arXiv:1912.01800, 2019
32019
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
12017
Conditional Generative Modeling via Learning the Latent Space
S Ramasinghe, K Ranasinghe, S Khan, N Barnes, S Gould
arXiv preprint arXiv:2010.03132, 2020
2020
Annex 17: deep semantic segmentation for built-up area extraction and mapping from satellite imagery
CD Athuraliya, S Ramasinghe, S Lokanathan
2018
Activity recognition combined with scene context and action sequence
SC Ramasinghe
2017
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
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Articles 1–14