Folgen
Sameera Ramasinghe
Sameera Ramasinghe
Applied scientist, Amazon
Bestätigte E-Mail-Adresse bei adelaide.edu.au
Titel
Zitiert von
Zitiert von
Jahr
Gaussian activated neural radiance fields for high fidelity reconstruction and pose estimation
SF Chng, S Ramasinghe, J Sherrah, S Lucey
European Conference on Computer Vision, 264-280, 2022
80*2022
Beyond periodicity: Towards a unifying framework for activations in coordinate-mlps
S Ramasinghe, S Lucey
European Conference on Computer Vision, 142-158, 2022
732022
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
612021
Rethinking positional encoding
J Zheng, S Ramasinghe, S Lucey
arXiv preprint arXiv:2107.02561, 2021
402021
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
352020
Enabling equivariance for arbitrary lie groups
LE MacDonald, S Ramasinghe, S Lucey
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
232022
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
212015
Recognition of badminton strokes using dense trajectories
S Ramasinghe, KGM Chathuramali, R Rodrigo
7th International Conference on Information and Automation for …, 2014
192014
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
162018
Trading positional complexity vs deepness in coordinate networks
J Zheng, S Ramasinghe, X Li, S Lucey
European Conference on Computer Vision, 144-160, 2022
152022
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
152017
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, 19487-19499, 2021
112021
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
112020
On the frequency-bias of coordinate-mlps
S Ramasinghe, LE MacDonald, S Lucey
Advances in Neural Information Processing Systems 35, 796-809, 2022
102022
Robust normalizing flows using Bernstein-type polynomials
S Ramasinghe, K Fernando, S Khan, N Barnes
arXiv preprint arXiv:2102.03509, 2021
102021
Few-shot class-incremental learning for 3d point cloud objects
T Chowdhury, A Cheraghian, S Ramasinghe, S Ahmadi, M Saberi, ...
European Conference on Computer Vision, 204-220, 2022
92022
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
92020
Learning positional embeddings for coordinate-mlps
S Ramasinghe, S Lucey
arXiv preprint arXiv:2112.11577, 2021
82021
Spectral-gans for high-resolution 3d point-cloud generation. In 2020 IEEE
S Ramasinghe, S Khan, N Barnes, S Gould
RSJ International Conference on Intelligent Robots and Systems (IROS), 8169-8176, 0
8
Abnormal activity recognition using spatio-temporal features
KGM Chathuramali, S Ramasinghe, R Rodrigo
7th International Conference on Information and Automation for …, 2014
72014
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20