3 papers
cs.CV2019
Learning Geo-Temporal Image Features
Menghua Zhai, Tawfiq Salem, Connor Greenwell +3
We propose to implicitly learn to extract geo-temporal image features, which are mid-level features related to when and where an image was captured, by explicitly optimizing for a…
cs.CV2018
Learning to Look around Objects for Top-View Representations of Outdoor Scenes
Samuel Schulter, Menghua Zhai, Nathan Jacobs +1
Given a single RGB image of a complex outdoor road scene in the perspective view, we address the novel problem of estimating an occlusion-reasoned semantic scene layout in the top-…
cs.CV2017
A Unified Model for Near and Remote Sensing
Scott Workman, Menghua Zhai, David J. Crandall +1
We propose a novel convolutional neural network architecture for estimating geospatial functions such as population density, land cover, or land use. In our approach, we combine ov…