3 citations · 3 across the 2 of their papers we have counts for
5 papers
Any-Width Networks
Thanh Vu, Marc Eder, True Price +1
Despite remarkable improvements in speed and accuracy, convolutional neural networks (CNNs) still typically operate as monolithic entities at inference time. This poses a challenge…
Tangent Images for Mitigating Spherical Distortion
Marc Eder, Mykhailo Shvets, John Lim +1
In this work, we propose "tangent images," a spherical image representation that facilitates transferable and scalable computer vision. Inspired by techniques in cartog…
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network
Marc Eder, Pierre Moulon, Li Guan
In this work we present a method to train a plane-aware convolutional neural network for dense depth and surface normal estimation as well as plane boundaries from a single indoor…
Mapped Convolutions
Marc Eder, True Price, Thanh Vu +2
We present a versatile formulation of the convolution operation that we term a "mapped convolution." The standard convolution operation implicitly samples the pixel grid and comput…
Convolutions on Spherical Images
Marc Eder, Jan-Michael Frahm
Applying convolutional neural networks to spherical images requires particular considerations. We look to the millennia of work on cartographic map projections to provide the tools…