Shin Fang Ch'ng
Grant-Funded Researcher (B) - Defence
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
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.
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Appointments
Date Position Institution name 2021 - ongoing Postdoctoral Researcher University of Adelaide -
Education
Date Institution name Country Title 2021 University of Adelaide Australia PhD -
Research Interests
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Journals
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.
Scopus3 WoS5 -
Conference Papers
Year Citation 2025 Garg, R., Chng, S. F., & Lucey, S. (2025). Direct Alignment for Robust NeRF Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15480 LNCS (pp. 88-104). Hanoi: Springer Nature Singapore.
DOI2024 Saratchandran, H., Chng, S. -F., Ramasinghe, S., MacDonald, L. E., & Lucey, S. (2024). Curvature-Aware Training for Coordinate Networks. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023) (pp. 13282-13292). online: IEEE.
DOI Scopus12024 Vidanapathirana, K., Chng, S. F., Li, X., & Lucey, S. (2024). Multi-Body Neural Scene Flow. In Proceedings - 2024 International Conference on 3D Vision, 3DV 2024 (pp. 126-136). Online: IEEE.
DOI Scopus12023 Gordon, C., Chng, S. F., MacDonald, L., & Lucey, S. (2023). On Quantizing Implicit Neural Representations. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV, 2023) (pp. 341-350). Online: IEEE.
DOI Scopus112022 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 Scopus43 WoS22022 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. 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.
DOI Scopus122020 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 Scopus12 WoS62020 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 Scopus12 WoS72019 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.
DOI Scopus3
Tutor
- Foundation of Computer Science.
- Programming MATLAB & C.
- Introduction to Geometric Algorithms
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2024 Co-Supervisor Understanding Sparse Geometry of 3D Objects in the Wild Master of Philosophy Master Full Time Mr Christopher Joseph Fusco
Connect With Me
External Profiles
