| Beyond periodicity: Towards a unifying framework for activations in coordinate-mlps S Ramasinghe, S Lucey European Conference on Computer Vision, 142-158, 2022 | 177 | 2022 |
| 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 | 156 | 2022 |
| 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 | 106 | 2021 |
| Rethinking positional encoding J Zheng, S Ramasinghe, S Lucey arXiv preprint arXiv:2107.02561, 2021 | 81 | 2021 |
| 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 | 46 | 2020 |
| Enabling equivariance for arbitrary lie groups LE MacDonald, S Ramasinghe, S Lucey Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 39 | 2022 |
| 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 | 31 | 2022 |
| Accept the modality gap: An exploration in the hyperbolic space S Ramasinghe, V Shevchenko, G Avraham, A Thalaiyasingam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 27 | 2024 |
| Trading positional complexity vs deepness in coordinate networks J Zheng, S Ramasinghe, X Li, S Lucey European Conference on Computer Vision, 144-160, 2022 | 26 | 2022 |
| Recognition of badminton strokes using dense trajectories S Ramasinghe, KGM Chathuramali, R Rodrigo 7th International Conference on Information and Automation for …, 2014 | 26 | 2014 |
| 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 | 21 | 2015 |
| On the frequency-bias of coordinate-mlps S Ramasinghe, LE MacDonald, S Lucey Advances in Neural Information Processing Systems 35, 796-809, 2022 | 20 | 2022 |
| A sampling theory perspective on activations for implicit neural representations H Saratchandran, S Ramasinghe, V Shevchenko, A Long, S Lucey arXiv preprint arXiv:2402.05427, 2024 | 18 | 2024 |
| 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 | 18 | 2018 |
| 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 | 17 | 2017 |
| Backpropagation-free network for 3d test-time adaptation Y Wang, A Cheraghian, Z Hayder, J Hong, S Ramasinghe, S Rahman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 16 | 2024 |
| Robust normalizing flows using Bernstein-type polynomials S Ramasinghe, K Fernando, S Khan, N Barnes arXiv preprint arXiv:2102.03509, 2021 | 15 | 2021 |
| How much does initialization affect generalization? S Ramasinghe, LE MacDonald, M Farazi, H Saratchandran, S Lucey International Conference on Machine Learning, 28637-28655, 2023 | 13 | 2023 |
| Learning positional embeddings for coordinate-mlps S Ramasinghe, S Lucey arXiv preprint arXiv:2112.11577, 2021 | 12 | 2021 |
| 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 | 12 | 2020 |
Simon LuceyDirector, Australian Institute for Machine Learning (AIML) + CommBank AI ScholarVerified email at adelaide.edu
