Grant-Funded Researcher (B) - Defence
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
I am a postdoctoral researcher at the Australian Institute for Machine Learning, University of Adelaide, working with Professor Simon Lucey. Prior to this, I received my PhD at the University of Adelaide under the supervision of Professor Tat-Jun Chin and Dr. Yasir Latif. I was affiliated with Australian Center for Robotic Vision (ACRV). My research focuses on the computer vision, robotics and machine learning, specifically neural scene representations, Simultaneous Localisation and Mapping (SLAM) and Structure-from-Motion (SfM), for Augmented/Virtual Reality applications and autonomous driving.
Year Citation 2020 Doan, A. D., Latif, Y., Chin, T. J., Liu, Y., Ch ng, S. F., Do, T. T., & Reid, I. (2020). Visual localization under appearance change: filtering approaches. Neural Computing and Applications, 33(13), 254-261.
DOI Scopus2 WoS5
Year Citation 2022 Ch'ng, S. F., Ramasinghe, S., Sherrah, J., & Lucey, S. (2022). GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation. In Proceedings of the 17th European Conference on Computer Vision (ECCV 2022). Tel Aviv, Israel. 2022 Chng, S. F., Ramasinghe, S., Sherrah, J., & Lucey, S. (2022). Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13693 LNCS (pp. 264-280). Online: Springer.
DOI Scopus4 WoS2
2021 Parra Bustos, A., Ch'ng, S., Chin, T., Eriksson, A. P., & Reid, I. D. (2021). Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vol. abs/2103.08292 (pp. 4296-4305). online: IEEE.
2020 Ch'ng, S. F., Sogi, N., Purkait, P., Chin, T. J., & Fukui, K. (2020). Resolving marker pose ambiguity by robust rotation averaging with clique constraints. In Proceedings of the International Conference on Robotics and Automation, as published in IEEE Xplore Vol. abs/1909.11888 (pp. 9680-9686). online: IEEE.
DOI Scopus9 WoS6
2020 Ch'ng, S. F., Sogi, N., Purkait, P., Chin, T. -J., & Fukui, K. (2020). Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints*.. In ICRA (pp. 9680-9686). online: IEEE. 2020 Chin, T. J., Suter, D., Ch'ng, S. F., & Quach, J. (2020). Quantum Robust Fitting. In H. Ishikawa, C. -L. Liu, T. Pajdla, & J. Shi (Eds.), 15th Asian Conference on Computer Vision, ACCV 2020 Vol. 12622 (pp. 485-499). Switzerland: Springer. 2019 Ch'ng, S. F., Khosravian Hemami, A., Doan, A., & Chin, T. J. (2019). Outlier-robust manifold pre-integration for INS/GPS fusion. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) (pp. 7489-7496). online: IEEE.
DOI Scopus10 WoS7
2019 Doan, A. -D., Latif, Y., Chin, T., Liu, Y., Ch'ng, S., Do, T. -T., & Reid, I. D. (2019). Visual Localization under Appearance Change: A Filtering Approach.. In Proceedings of 2019 Digital Image Computing Techniques and Applications (DICTA) (pp. 254-261). online: IEEE.
- Foundation of Computer Science.
- Programming MATLAB & C.
- Introduction to Geometric Algorithms
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