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11/28/2022
Handling Image and Label Resolution Mismatch in Remote Sensing
Though semantic segmentation has been heavily explored in vision literat...
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04/04/2022
Revisiting Near/Remote Sensing with Geospatial Attention
This work addresses the task of overhead image segmentation when auxilia...
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09/20/2021
Augmenting Depth Estimation with Geospatial Context
Modern cameras are equipped with a wide array of sensors that enable rec...
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03/08/2021
Content-Based Detection of Temporal Metadata Manipulation
Most pictures shared online are accompanied by a temporal context (i.e.,...
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12/29/2020
Learning a Dynamic Map of Visual Appearance
The appearance of the world varies dramatically not only from place to p...
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12/22/2020
A Structure-Aware Method for Direct Pose Estimation
Estimating camera pose from a single image is a fundamental problem in c...
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12/18/2020
Dynamic Traffic Modeling From Overhead Imagery
Our goal is to use overhead imagery to understand patterns in traffic fl...
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07/29/2020
Single Image Cloud Detection via Multi-Image Fusion
Artifacts in imagery captured by remote sensing, such as clouds, snow, a...
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06/14/2020
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
Roadway free-flow speed captures the typical vehicle speed in low traffi...
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09/16/2019
Learning Geo-Temporal Image Features
We propose to implicitly learn to extract geo-temporal image features, w...
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01/17/2019
FARSA: Fully Automated Roadway Safety Assessment
This paper addresses the task of road safety assessment. An emerging app...
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08/02/2018
What Goes Where: Predicting Object Distributions from Above
In this work, we propose a cross-view learning approach, in which images...
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08/09/2017
A Unified Model for Near and Remote Sensing
We propose a novel convolutional neural network architecture for estimat...
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12/09/2016
Understanding and Mapping Natural Beauty
While natural beauty is often considered a subjective property of images...
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12/08/2016
Predicting Ground-Level Scene Layout from Aerial Imagery
We introduce a novel strategy for learning to extract semantically meani...
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08/19/2016
Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
We propose a novel method for detecting horizontal vanishing points and ...
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04/07/2016
Horizon Lines in the Wild
The horizon line is an important contextual attribute for a wide variety...
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10/13/2015
