3 papers
cs.CV2020
When to Use Convolutional Neural Networks for Inverse Problems
Nathaniel Chodosh, Simon Lucey
Reconstruction tasks in computer vision aim fundamentally to recover an undetermined signal from a set of noisy measurements. Examples include super-resolution, image denoising, an…
cs.CV2018
DeepGeo: Photo Localization with Deep Neural Network
Sudharshan Suresh, Nathaniel Chodosh, Montiel Abello
In this paper we address the task of determining the geographical location of an image, a pertinent problem in learning and computer vision. This research was inspired from playing…
cs.CV2018
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
Nathaniel Chodosh, Chaoyang Wang, Simon Lucey
In this paper we consider the problem of estimating a dense depth map from a set of sparse LiDAR points. We use techniques from compressed sensing and the recently developed Altern…