Visual Localization under Appearance Change: A Filtering Approach. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Shin-Fang Ch'ng; Thanh-Toan Do; Ian D. Reid 001 (DICTA, 2019)

Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion. - Shin-Fang Ch'ng; Alireza Khosravian; Anh-Dzung Doan; Tat-Jun Chin (IROS, 2019)

Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints. - Shin-Fang Ch'ng; Naoya Sogi; Pulak Purkait; Tat-Jun Chin; Kazuhiro Fukui (CoRR, 2019)

Quantum Robust Fitting. - Tat-Jun Chin; David Suter; Shin-Fang Ch'ng; James Quach (ACCV (1), 2020)

Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints*. - Shin-Fang Ch'ng; Naoya Sogi; Pulak Purkait; Tat-Jun Chin; Kazuhiro Fukui (ICRA, 2020)

Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. - Álvaro Parra 001; Shin-Fang Ch'ng; Tat-Jun Chin; Anders P. Eriksson; Ian Reid 001 (CVPR, 2021)

Visual localization under appearance change: filtering approaches. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Shin-Fang Ch'ng; Thanh-Toan Do; Ian Reid 001 (Neural Comput. Appl., 2021)

Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. - Shin-Fang Ch'ng; Sameera Ramasinghe; Jamie Sherrah; Simon Lucey (ECCV (33), 2022)

GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation. - Shin-Fang Ch'ng; Sameera Ramasinghe; Jamie Sherrah; Simon Lucey (CoRR, 2022)

Curvature-Aware Training for Coordinate Networks. - Hemanth Saratchandran; Shin-Fang Ch'ng; Sameera Ramasinghe; Lachlan E. MacDonald; Simon Lucey (ICCV, 2023)

On Quantizing Implicit Neural Representations. - Cameron Gordon; Shin-Fang Ch'ng; Lachlan E. MacDonald; Simon Lucey (WACV, 2023)

Multi-Body Neural Scene Flow. - Kavisha Vidanapathirana; Shin-Fang Ch'ng; Xueqian Li; Simon Lucey (3DV, 2024)

Direct Alignment for Robust NeRF Learning. - Ravi Garg; Shin-Fang Ch'ng; Simon Lucey (ACCV (9), 2024)

Invertible Neural Warp for NeRF. - Shin-Fang Ch'ng; Ravi Garg; Hemanth Saratchandran; Simon Lucey (ECCV (17), 2024)

Architectural Strategies for the optimization of Physics-Informed Neural Networks. - Hemanth Saratchandran; Shin-Fang Ch'ng; Simon Lucey (CoRR, 2024)

Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks. - Hemanth Saratchandran; Shin-Fang Ch'ng; Simon Lucey (CoRR, 2024)

Preconditioners for the Stochastic Training of Implicit Neural Representations. - Shin-Fang Ch'ng; Hemanth Saratchandran; Simon Lucey (CoRR, 2024)

Object Agnostic 3D Lifting in Space and Time. - Christopher Fusco; Mosam Dabhi; Shin-Fang Ch'ng; Simon Lucey (CoRR, 2024)

Preconditioners for the Stochastic Training of Neural Fields. - Shin-Fang Ch'ng; Hemanth Saratchandran; Simon Lucey (CVPR, 2025)