Shin-Fang Chng

According to our database, Shin-Fang Chng authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Preconditioners for the Stochastic Training of Implicit Neural Representations.

Shin-Fang Chng, Hemanth Saratchandran, Simon Lucey

CoRR, 2024

Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks.

Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey

CoRR, 2024

Architectural Strategies for the optimization of Physics-Informed Neural Networks.

Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey

CoRR, 2024

2023

Multi-Body Neural Scene Flow.

Kavisha Vidanapathirana, Shin-Fang Chng, Xueqian Li, Simon Lucey

CoRR, 2023

On Quantizing Implicit Neural Representations.

Cameron Gordon, Shin-Fang Chng, Lachlan E. MacDonald, Simon Lucey

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Curvature-Aware Training for Coordinate Networks.

Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation.

Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey

CoRR, 2022

Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation.

Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey

Proceedings of the Computer Vision - ECCV 2022, 2022