activity
20172026
most citedA Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking

4 citations · 10 across the 12 of their papers we have counts for

collaborators

14 papers

cs.LG2026

It's All Just Vectorization: einx, a Universal Notation for Tensor Operations

Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +1

Tensor operations represent a cornerstone of modern scientific computing. However, the Numpy-like notation adopted by predominant tensor frameworks is often difficult to read and w…

cs.CV2026

RPC-GS: Gaussian Splatting with native RPC Rendering for Satellite Imagery

Valentin Wagner, Sebastian Bullinger, Christoph Bodensteiner +1

We present RPC-GS, the first Gaussian Splatting framework for satellite imagery that operates natively with Rational Polynomial Camera (RPC) models. The RPC model is the de facto s…

cs.CV2025

Semantic Neural Radiance Fields for Multi-Date Satellite Data

Valentin Wagner, Sebastian Bullinger, Christoph Bodensteiner +1

In this work we propose a satellite specific Neural Radiance Fields (NeRF) model capable to obtain a three-dimensional semantic representation (neural semantic field) of the scene.…

cs.CV2024

Statewide Visual Geolocalization in the Wild

Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +2

This work presents a method that is able to predict the geolocation of a street-view photo taken in the wild within a state-sized search region by matching against a database of ae…

cs.CV2023★ 2 cited

C-BEV: Contrastive Bird's Eye View Training for Cross-View Image Retrieval and 3-DoF Pose Estimation

Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +2

To find the geolocation of a street-view image, cross-view geolocalization (CVGL) methods typically perform image retrieval on a database of georeferenced aerial images and determi…

cs.CV2023

Geo-Tiles for Semantic Segmentation of Earth Observation Imagery

Sebastian Bullinger, Florian Fervers, Christoph Bodensteiner +1

To cope with the high requirements during the computation of semantic segmentations of earth observation imagery, current state-of-the-art pipelines divide the corresponding data i…