11 citations · 11 across the 1 of their papers we have counts for
3 papers
cs.CV2020
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications
Jose J. Bouza, Chun-Hao Yang, David Vaillancourt +1
Geometric deep learning has attracted significant attention in recent years, in part due to the availability of exotic data types for which traditional neural network architectures…
cs.CV2017★ 11 cited
Statistics on the (compact) Stiefel manifold: Theory and Applications
Rudrasis Chakraborty, Baba Vemuri
A Stiefel manifold of the compact type is often encountered in many fields of Engineering including, signal and image processing, machine learning, numerical optimization and other…
cs.CV2016
An efficient Exact-PGA algorithm for constant curvature manifolds
Rudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri
Manifold-valued datasets are widely encountered in many computer vision tasks. A non-linear analog of the PCA, called the Principal Geodesic Analysis (PGA) suited for data lying on…