14 citations · 23 across the 4 of their papers we have counts for
12 papers
Single View Geocentric Pose in the Wild
Gordon Christie, Kevin Foster, Shea Hagstrom +2
Current methods for Earth observation tasks such as semantic mapping, map alignment, and change detection rely on near-nadir images; however, often the first available images in re…
Towards Indirect Top-Down Road Transport Emissions Estimation
Ryan Mukherjee, Derek Rollend, Gordon Christie +4
Road transportation is one of the largest sectors of greenhouse gas (GHG) emissions affecting climate change. Tackling climate change as a global community will require new capabil…
Learning Geocentric Object Pose in Oblique Monocular Images
Gordon Christie, Rodrigo Rene Rai Munoz Abujder, Kevin Foster +3
An object's geocentric pose, defined as the height above ground and orientation with respect to gravity, is a powerful representation of real-world structure for object detection,…
Estimating Displaced Populations from Overhead
Armin Hadzic, Gordon Christie, Jeffrey Freeman +5
We introduce a deep learning approach to perform fine-grained population estimation for displacement camps using high-resolution overhead imagery. We train and evaluate our approac…
Semantic Stereo for Incidental Satellite Images
Marc Bosch, Kevin Foster, Gordon Christie +3
The increasingly common use of incidental satellite images for stereo reconstruction versus rigidly tasked binocular or trinocular coincident collection is helping to enable timely…
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery
Marc Bosch, Gordon A. Christie, Christopher M. Gifford
Semantic segmentation is a powerful method to facilitate visual scene understanding. Each pixel is assigned a label according to a pre-defined list of object classes and semantic e…
Improved Image Segmentation via Cost Minimization of Multiple Hypotheses
Marc Bosch, Christopher M. Gifford, Austin G. Dress +3
Image segmentation is an important component of many image understanding systems. It aims to group pixels in a spatially and perceptually coherent manner. Typically, these algorith…
Functional Map of the World
Gordon Christie, Neil Fendley, James Wilson +1
We present a new dataset, Functional Map of the World (fMoW), which aims to inspire the development of machine learning models capable of predicting the functional purpose of build…
Semantics for UGV Registration in GPS-denied Environments
Gordon Christie, Garrett Warnell, Kevin Kochersberger
Localization in a global map is critical to success in many autonomous robot missions. This is particularly challenging for multi-robot operations in unknown and adverse environmen…
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV
Gordon Christie, Adam Shoemaker, Kevin Kochersberger +3
Autonomously searching for hazardous radiation sources requires the ability of the aerial and ground systems to understand the scene they are scouting. In this paper, we present sy…
Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions
Arijit Ray, Gordon Christie, Mohit Bansal +2
Visual Question Answering (VQA) is the task of answering natural-language questions about images. We introduce the novel problem of determining the relevance of questions to images…
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes
Gordon Christie, Ankit Laddha, Aishwarya Agrawal +4
We present an approach to simultaneously perform semantic segmentation and prepositional phrase attachment resolution for captioned images. Some ambiguities in language cannot be r…