15 citations · 32 across the 17 of their papers we have counts for
19 papers
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…
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…
SatGeo-NeRF: Geometrically Regularized NeRF for Satellite Imagery
Valentin Wagner, Sebastian Bullinger, Michael Arens +1
We present SatGeo-NeRF, a geometrically regularized NeRF for satellite imagery that mitigates overfitting-induced geometric artifacts observed in current state-of-the-art models us…
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.…
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…
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation
Stéphane Vujasinović, Stefan Becker, Sebastian Bullinger +3
In this paper, we introduce a variant of video object segmentation (VOS) that bridges interactive and semi-automatic approaches, termed Lazy Video Object Segmentation (ziVOS). In c…
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…
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…
READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation
Stéphane Vujasinović, Sebastian Bullinger, Stefan Becker +3
We present READMem (Robust Embedding Association for a Diverse Memory), a modular framework for semi-automatic video object segmentation (sVOS) methods designed to handle unconstra…
Uncertainty-aware Vision-based Metric Cross-view Geolocalization
Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +2
This paper proposes a novel method for vision-based metric cross-view geolocalization (CVGL) that matches the camera images captured from a ground-based vehicle with an aerial imag…
Continuous Self-Localization on Aerial Images Using Visual and Lidar Sensors
Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +2
This paper proposes a novel method for geo-tracking, i.e. continuous metric self-localization in outdoor environments by registering a vehicle's sensor information with aerial imag…
Revisiting Click-based Interactive Video Object Segmentation
Stephane Vujasinovic, Sebastian Bullinger, Stefan Becker +3
While current methods for interactive Video Object Segmentation (iVOS) rely on scribble-based interactions to generate precise object masks, we propose a Click-based interactive Vi…
Improving Semantic Image Segmentation via Label Fusion in Semantically Textured Meshes
Florian Fervers, Timo Breuer, Gregor Stachowiak +3
Models for semantic segmentation require a large amount of hand-labeled training data which is costly and time-consuming to produce. For this purpose, we present a label fusion fra…
3D Surface Reconstruction From Multi-Date Satellite Images
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
The reconstruction of accurate three-dimensional environment models is one of the most fundamental goals in the field of photogrammetry. Since satellite images provide suitable pro…
A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
We propose a framework that extends Blender to exploit Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques for image-based modeling tasks such as sculpting or camera…
Integration of the 3D Environment for UAV Onboard Visual Object Tracking
Stéphane Vujasinović, Stefan Becker, Timo Breuer +3
Single visual object tracking from an unmanned aerial vehicle (UAV) poses fundamental challenges such as object occlusion, small-scale objects, background clutter, and abrupt camer…
Stereo 3D Object Trajectory Reconstruction
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens +1
We present a method to reconstruct the three-dimensional trajectory of a moving instance of a known object category using stereo video data. We track the two-dimensional shape of o…
3D Trajectory Reconstruction of Dynamic Objects Using Planarity Constraints
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens +1
We present a method to reconstruct the three-dimensional trajectory of a moving instance of a known object category in monocular video data. We track the two-dimensional shape of o…
Instance Flow Based Online Multiple Object Tracking
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
We present a method to perform online Multiple Object Tracking (MOT) of known object categories in monocular video data. Current Tracking-by-Detection MOT approaches build on top o…