2 citations · 2 across the 3 of their papers we have counts for
3 papers
Curvature-Aware Training for Coordinate Networks
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe +2
Coordinate networks are widely used in computer vision due to their ability to represent signals as compressed, continuous entities. However, training these networks with first-ord…
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham +1
Reasoning the 3D structure of a non-rigid dynamic scene from a single moving camera is an under-constrained problem. Inspired by the remarkable progress of neural radiance fields (…
How You Start Matters for Generalization
Sameera Ramasinghe, Lachlan MacDonald, Moshiur Farazi +2
Characterizing the remarkable generalization properties of over-parameterized neural networks remains an open problem. In this paper, we promote a shift of focus towards initializa…