| 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 | 70* | 2022 |
| Visual localization under appearance change: filtering approaches AD Doan, Y Latif, TJ Chin, Y Liu, SF Ch’ng, TT Do, I Reid Neural Computing and Applications 33, 7325-7338, 2021 | 14 | 2021 |
| Resolving marker pose ambiguity by robust rotation averaging with clique constraints SF Ch’ng, N Sogi, P Purkait, TJ Chin, K Fukui 2020 IEEE international conference on robotics and automation (icra), 9680-9686, 2020 | 14 | 2020 |
| Rotation coordinate descent for fast globally optimal rotation averaging A Parra, SF Chng, TJ Chin, A Eriksson, I Reid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 13 | 2021 |
| Outlier-robust manifold pre-integration for INS/GPS fusion SF Ch’ng, A Khosravian, AD Doan, TJ Chin 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 11 | 2019 |
| Quantum robust fitting TJ Chin, D Suter, SF Ch'ng, J Quach Proceedings of the Asian Conference on Computer Vision, 2020 | 10 | 2020 |
| On quantizing implicit neural representations C Gordon, SF Chng, L MacDonald, S Lucey Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 8 | 2023 |
| Multi-body neural scene flow K Vidanapathirana, SF Chng, X Li, S Lucey arXiv preprint arXiv:2310.10301, 2023 | 5 | 2023 |
| Curvature-aware training for coordinate networks H Saratchandran, SF Chng, S Ramasinghe, L MacDonald, S Lucey Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Preconditioners for the Stochastic Training of Implicit Neural Representations SF Chng, H Saratchandran, S Lucey arXiv preprint arXiv:2402.08784, 2024 | | 2024 |
| Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks H Saratchandran, SF Chng, S Lucey arXiv preprint arXiv:2402.04783, 2024 | | 2024 |
| Architectural Strategies for the optimization of Physics-Informed Neural Networks H Saratchandran, SF Chng, S Lucey arXiv preprint arXiv:2402.02711, 2024 | | 2024 |
| Architectural Insights for efficient Physics-Informed Neural Network optimization H Saratchandran, SF Chng, S Lucey | | |
| Supplementary Material for: Curvature-Aware Training for Coordinate Networks H Saratchandran, SF Chng, S Ramasinghe, L MacDonald, S Lucey | | |
