3 citations · 7 across the 5 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Generalizable Neural Fields as Partially Observed Neural Processes
Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
Neural fields, which represent signals as a function parameterized by a neural network, are a promising alternative to traditional discrete vector or grid-based representations. Co…
cs.CV2023★ 2 cited
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel +2
Deep representation learning is a ubiquitous part of modern computer vision. While Euclidean space has been the de facto standard manifold for learning visual representations, hype…