373 citations · 1.4k across the 19 of their papers we have counts for
4 papers · 2 filters
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…
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…