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20162023
most citedTowards a Collective Agenda on AI for Earth Science Data Analysis

83 citations · 186 across the 25 of their papers we have counts for

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Showing 2020 · cs.CVShow all

13 papers · 2 filters

cs.CV2020

Learning a Dynamic Map of Visual Appearance

Tawfiq Salem, Scott Workman, Nathan Jacobs

The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Every day billions of images capture this complex relati…

cs.CV2020

A Structure-Aware Method for Direct Pose Estimation

Hunter Blanton, Scott Workman, Nathan Jacobs

Estimating camera pose from a single image is a fundamental problem in computer vision. Existing methods for solving this task fall into two distinct categories, which we refer to…

cs.CV2020

Dynamic Traffic Modeling From Overhead Imagery

Scott Workman, Nathan Jacobs

Our goal is to use overhead imagery to understand patterns in traffic flow, for instance answering questions such as how fast could you traverse Times Square at 3am on a Sunday. A…

cs.CV2020

Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate

Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin +3

Most galaxies in the nearby Universe are gravitationally bound to a cluster or group of galaxies. Their optical contents, such as optical richness, are crucial for understanding th…

cs.CV2020★ 34 cited

Dynamic Image for 3D MRI Image Alzheimer's Disease Classification

Xin Xing, Gongbo Liang, Hunter Blanton +4

We propose to apply a 2D CNN architecture to 3D MRI image Alzheimer's disease classification. Training a 3D convolutional neural network (CNN) is time-consuming and computationally…

cs.CV2020★ 29 cited

Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification

Gongbo Liang, Yu Zhang, Xiaoqin Wang +1

Recent works have shown that deep neural networks can achieve super-human performance in a wide range of image classification tasks in the medical imaging domain. However, these wo…