research
∙
05/01/2023
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping
Mapping floods using satellite data is crucial for managing and mitigati...
share
research
∙
12/03/2021
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
Self-supervised learning aims to learn image feature representations wit...
research
∙
10/11/2020
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement
Accurate flood detection in near real time via high resolution, high lat...
research
∙
09/22/2020
Angular Luminance for Material Segmentation
Moving cameras provide multiple intensity measurements per pixel, yet of...
research
∙
04/29/2020
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images
The connection between visual input and tactile sensing is critical for ...
research
∙
04/17/2019
