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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
162015
Spectral-gans for high-resolution 3d point-cloud generation
S Ramasinghe, S Khan, N Barnes, S Gould
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
102020
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
92018
Representation learning on unit ball with 3d roto-translational equivariance
S Ramasinghe, S Khan, N Barnes, S Gould
International Journal of Computer Vision 128 (6), 1612-1634, 2020
82020
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
82017
Recognition of badminton strokes using dense trajectories
S Ramasinghe, KGM Chathuramali, R Rodrigo
7th International Conference on Information and Automation for …, 2014
82014
Rethinking positional encoding
J Zheng, S Ramasinghe, S Lucey
arXiv preprint arXiv:2107.02561, 2021
62021
Abnormal activity recognition using spatio-temporal features
KGM Chathuramali, S Ramasinghe, R Rodrigo
7th International Conference on Information and Automation for …, 2014
62014
Robust normalizing flows using Bernstein-type polynomials
S Ramasinghe, K Fernando, S Khan, N Barnes
arXiv preprint arXiv:2102.03509, 2021
52021
Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
A Cheraghian, S Rahman, S Ramasinghe, P Fang, C Simon, L Petersson, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
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
International Conference on Learning Representations. 2020., 2020
32020
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
S Ramasinghe, M Farazi, SH Khan, N Barnes, S Gould
Advances in Neural Information Processing Systems 34, 2021
22021
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
S Ramasinghe, S Lucey
arXiv preprint arXiv:2111.15135, 2021
12021
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
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
12016
GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation
SF Chng, S Ramasinghe, J Sherrah, S Lucey
arXiv e-prints, arXiv: 2204.05735, 2022
2022
On Regularizing Coordinate-MLPs
S Ramasinghe, L MacDonald, S Lucey
arXiv preprint arXiv:2202.00790, 2022
2022
Learning Positional Embeddings for Coordinate-MLPs
S Ramasinghe, S Lucey
arXiv preprint arXiv:2112.11577, 2021
2021
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