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
122015
Recognition of badminton strokes using dense trajectories
S Ramasinghe, KGM Chathuramali, R Rodrigo
7th International Conference on Information and Automation for …, 2014
72014
Spectral-GANs for High-Resolution 3D Point-cloud Generation
S Ramasinghe, S Khan, N Barnes, S Gould
arXiv preprint arXiv:1912.01800, 2019
62019
A context-aware capsule network for multi-label classification
S Ramasinghe, CD Athuraliya, SH Khan
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
62018
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 29 (9), 2693-2707, 2017
62017
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
52019
Abnormal activity recognition using spatio-temporal features
KGM Chathuramali, S Ramasinghe, R Rodrigo
7th International Conference on Information and Automation for …, 2014
52014
Blended convolution and synthesis for efficient discrimination of 3d shapes
S Ramasinghe, S Khan, N Barnes, S Gould
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
42020
Volumetric convolution: Automatic representation learning in unit ball
S Ramasinghe, S Khan, N Barnes
arXiv preprint arXiv:1901.00616, 2019
42019
Conditional Generative Modeling via Learning the Latent Space
S Ramasinghe, K Ranasinghe, S Khan, N Barnes, S Gould
arXiv preprint arXiv:2010.03132, 2020
12020
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
Robust normalizing flows using Bernstein-type polynomials
S Ramasinghe, K Fernando, S Khan, N Barnes
arXiv preprint arXiv:2102.03509, 2021
2021
How to train your conditional GAN: An approach using geometrically structured latent manifolds
S Ramasinghe, M Farazi, S Khan, N Barnes, S Gould
arXiv preprint arXiv:2011.13055, 2020
2020
Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification.
S Ramasinghe, SH Khan, N Barnes
ICPRAM, 115-125, 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 1–17