373 citations · 1.4k across the 19 of their papers we have counts for
6 papers · 1 filter
Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
The amount of available Earth observation data has increased dramatically in the recent years. Efficiently making use of the entire body information is a current challenge in remot…
Enhancing Traffic Scene Predictions with Generative Adversarial Networks
Peter König, Sandra Aigner, Marco Körner
We present a new two-stage pipeline for predicting frames of traffic scenes where relevant objects can still reliably be detected. Using a recent video prediction network, we first…
Early Classification for Agricultural Monitoring from Satellite Time Series
Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre +1
In this work, we introduce a recently developed early classification mechanism to satellite-based agricultural monitoring. It augments existing classification models by an addition…
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification
Lukas Liebel, Marco Körner
We introduce MultiDepth, a novel training strategy and convolutional neural network (CNN) architecture that allows approaching single-image depth estimation (SIDE) as a multi-task…
Late or Earlier Information Fusion from Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-cGAN
Ksenia Bittner, Marco Körner, Peter Reinartz
We present the workflow of a DSM refinement methodology using a Hybrid-cGAN where the generative part consists of two encoders and a common decoder which blends the spectral and he…
DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs
Ksenia Bittner, Marco Körner, Peter Reinartz
We describe the workflow of a digital surface models (DSMs) refinement algorithm using a hybrid conditional generative adversarial network (cGAN) where the generative part consists…