23 citations · 63 across the 13 of their papers we have counts for
4 papers · 2 filters
Predicting Ground-Level Scene Layout from Aerial Imagery
Menghua Zhai, Zachary Bessinger, Scott Workman +1
We introduce a novel strategy for learning to extract semantically meaningful features from aerial imagery. Instead of manually labeling the aerial imagery, we propose to predict (…
Understanding and Mapping Natural Beauty
Scott Workman, Richard Souvenir, Nathan Jacobs
While natural beauty is often considered a subjective property of images, in this paper, we take an objective approach and provide methods for quantifying and predicting the scenic…
Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
Menghua Zhai, Scott Workman, Nathan Jacobs
We propose a novel method for detecting horizontal vanishing points and the zenith vanishing point in man-made environments. The dominant trend in existing methods is to first find…
Horizon Lines in the Wild
Scott Workman, Menghua Zhai, Nathan Jacobs
The horizon line is an important contextual attribute for a wide variety of image understanding tasks. As such, many methods have been proposed to estimate its location from a sing…