no code implementations • ICCV 2023 • Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan MacDonald, Simon Lucey
Coordinate networks are widely used in computer vision due to their ability to represent signals as compressed, continuous entities.
no code implementations • 1 Sep 2022 • Cameron Gordon, Shin-Fang Chng, Lachlan MacDonald, Simon Lucey
The role of quantization within implicit/coordinate neural networks is still not fully understood.
no code implementations • 17 Jun 2022 • Sameera Ramasinghe, Lachlan MacDonald, Moshiur Farazi, Hemanth Saratchandran, Simon Lucey
Characterizing the remarkable generalization properties of over-parameterized neural networks remains an open problem.
no code implementations • 1 Feb 2022 • Sameera Ramasinghe, Lachlan MacDonald, Simon Lucey
We show that typical implicit regularization assumptions for deep neural networks (for regression) do not hold for coordinate-MLPs, a family of MLPs that are now ubiquitous in computer vision for representing high-frequency signals.