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JOHANNES L. SCHÖNBERGER

 * About
 * Publications
 * Tutorials




Principal Scientist
Microsoft, Zürich
joschonb@microsoft.com
 * Google Scholar
 * ResearchGate
 * GitHub
 * LinkedIn




SHORT BIO

Johannes is a Principal Scientist at the Microsoft Mixed Reality & AI Lab in
Zürich. Prior to joining Microsoft, he obtained his PhD in Computer Science as
part of the Computer Vision and Geometry Group at ETH Zürich, where he was
advised by Marc Pollefeys and Jan-Michael Frahm. Before, he received his MSc
from UNC Chapel Hill and his BSc from TU Munich.

His main research interests lie in image-based mapping, localization, and scene
understanding. More broadly, he is interested in topics at the intersection of
computer vision and geometry. A complete and up-to-date list of publications can
be found on Google Scholar or further below.

As part of his research, Johannes developed the open-source software COLMAP - an
end-to-end, general-purpose image-based 3D reconstruction software that is
widely used in academia and industry. Over the years, he also contributed to a
number of other scientific open source projects, including scikit-image,
scikit-learn, NumPy, SciPy, etc. Most open-source activities can be found on his
GitHub profile.

For his work on the COLMAP SFM and MVS software library, he received the PAMI
Mark Everingham Prize in 2020 as well as an ETH Medal in 2019, which is awarded
yearly for outstanding doctoral theses at ETH Zurich. Furthermore, he received a
best paper honorable mention for the paper "Efficient Two-View Geometry
Classification" at DAGM 2015.




PUBLICATIONS (GOOGLE SCHOLAR)


2023

A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction Silvan
Weder, Francis Engelmann, Johannes L. Schönberger, Akihito Seki, Marc Pollefeys,
Martin Oswald arXiv [ Paper | Bibtex ] Privacy Preserving Localization via
Coordinate Permutations Linfei Pan, Johannes L. Schönberger, Viktor Larsson,
Marc Pollefeys International Conference on Computer Vision (ICCV) [ Paper |
Supplementary | Bibtex ]


2022

LaMAR: Benchmarking Localization and Mapping for Augmented Reality Paul-Edouard
Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber,
Viktor Larsson, Ondrej Miksik, Marc Pollefeys European Conference on Computer
Vision (ECCV) [ Paper | Bibtex | Website ] Panoptic Multi-TSDFs: a Flexible
Representation for Online Multi-resolution Volumetric Mapping and Long-term
Dynamic Scene Consistency Lukas Schmid, Jeffrey Delmerico, Johannes L.
Schönberger, Juan Nieto, Marc Pollefeys, Roland Siegwart, Cesar Cadena
International Conference on Robotics and Automation (ICRA) [ Paper | Bibtex |
Code ]


2021

Reconstructing and grounding narrated instructional videos in 3D Dimitri Zhukov,
Ignacio Rocco, Ivan Laptev, Josef Sivic, Johannes L. Schönberger, Bugra Tekin,
Marc Pollefeys arXiv [ Paper | Bibtex ] Cross-Descriptor Visual Localization and
Mapping Mihai Dusmanu, Ondrej Miksik, Johannes L. Schönberger, Marc Pollefeys
International Conference on Computer Vision (ICCV) [ Paper | Bibtex ] Privacy
Preserving Localization and Mapping from Uncalibrated Cameras Marcel Geppert,
Viktor Larsson, Pablo Speciale Johannes L. Schönberger, Marc Pollefeys
Conference on Computer Vision and Pattern Recognition (CVPR) [ Paper | Bibtex ]
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings
Mihai Dusmanu, Johannes L. Schönberger, Sudipta N. Sinha, Marc Pollefeys
Conference on Computer Vision and Pattern Recognition (CVPR) [ Paper |
Supplementary | Bibtex | Project ] NeuralFusion: Online Depth Fusion in Latent
Space Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, Martin R. Oswald
Conference on Computer Vision and Pattern Recognition (CVPR) [ Paper | Bibtex ]


2020

Multi-View Optimization of Local Feature Geometry Mihai Dusmanu, Johannes L.
Schönberger, Marc Pollefeys European Conference on Computer Vision (ECCV) [
Paper | Bibtex | Project | Code ] Privacy Preserving Structure-from-Motion
Marcel Geppert, Viktor Larsson, Pablo Speciale Johannes L. Schönberger, Marc
Pollefeys European Conference on Computer Vision (ECCV) [ Paper | Bibtex | Code
] RoutedFusion: Learning Real-time Depth Map Fusion Silvan Weder, Johannes L.
Schönberger, Marc Pollefeys, Martin R. Oswald Conference on Computer Vision and
Pattern Recognition (CVPR) [ Paper | Bibtex | Code ] HoloLens 2 Research Mode as
a Tool for Computer Vision Research Dorin Ungureanu, Federica Bogo, Silvano
Galliani, Pooja Sama, Xin Duan, Casey Meekhof, Jan Stühmer, Thomas J. Cashman,
Bugra Tekin, Johannes L. Schönberger, Pawel Olszta, Marc Pollefeys arXiv [ Paper
| Bibtex | Code ]


2019

Privacy Preserving Image Queries for Camera Localization Pablo Speciale,
Johannes L. Schönberger, Sudipta N. Sinha, Marc Pollefeys International
Conference on Computer Vision (ICCV) [ Paper | Bibtex ] Privacy Preserving
Image-Based Localization Pablo Speciale, Johannes L. Schönberger, Sing Bing
Kang, Sudipta N. Sinha, Marc Pollefeys Conference on Computer Vision and Pattern
Recognition (CVPR) [ Paper | Bibtex ] SciPy 1.0 - Fundamental Algorithms for
Scientific Computing in Python Virtanen, Gommers, Oliphant, SciPy 1.0
Contributors Nature Methods [ Paper | Bibtex | Code ]


2018

Robust Methods for Accurate and Efficient 3D Modeling from Unstructured Imagery
Johannes L. Schönberger PhD Thesis [ Thesis | Bibtex ] Learning to Fuse
Proposals from Multiple Scanline Optimizations in Semi-Global Matching Johannes
L. Schönberger, Sudipta N. Sinha, Marc Pollefeys European Conference on Computer
Vision (ECCV) [ Paper | Supplementary | Bibtex ] Learning Priors for Semantic 3D
Reconstruction Ian Cherabier, Johannes L. Schönberger, Martin Oswald, Marc
Pollefeys, Andreas Geiger European Conference on Computer Vision (ECCV) [ Paper
| Supplementary | Bibtex ] VSO: Visual Semantic Odometry Nektarios Lianos,
Johannes L. Schönberger, Marc Pollefeys, Torsten Sattler European Conference on
Computer Vision (ECCV) [ Paper | Supplementary | Bibtex ] Semantic Visual
Localization Johannes L. Schönberger, Marc Pollefeys, Andreas Geiger, Torsten
Sattler Conference on Computer Vision and Pattern Recognition (CVPR) [ Paper |
Supplementary | Bibtex ] Augmenting Crowd-Sourced 3D Reconstructions using
Semantic Detections True Price, Johannes L. Schönberger, Zhen Wei, Marc
Pollefeys, Jan-Michael Frahm Conference on Computer Vision and Pattern
Recognition (CVPR) [ Paper | Supplementary | Bibtex ]


2017

Comparative Evaluation of Hand-Crafted and Learned Local Features Johannes L.
Schönberger, Hans Hardmeier, Torsten Sattler, Marc Pollefeys Conference on
Computer Vision and Pattern Recognition (CVPR) [ Benchmark | Paper |
Supplementary | Bibtex ] A Multi-View Stereo Benchmark with High-Resolution
Images and Multi-Camera Videos Thomas Schöps, Johannes L. Schönberger, Silvano
Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger
Conference on Computer Vision and Pattern Recognition (CVPR) [ Paper |
Supplementary | Bibtex ] Mapping on the Fly: Real-Time 3D Dense Reconstruction,
Digital Surface Map and Incremental Orthomosaic Generation for Unmanned Aerial
Vehicles Timo Hinzmann, Johannes L. Schönberger, Marc Pollefeys, Roland Siegwart
International Conference on Field and Service Robotics (FSR) [ Code | Paper |
Supplementary | Bibtex ]


2016

A Vote­-and­-Verify Strategy for Fast Spatial Verification in Image Retrieval
Johannes L. Schönberger, True Price, Torsten Sattler, Jan-Michael Frahm, Marc
Pollefeys Asian Conference on Computer Vision (ACCV) [ Code | Paper |
Supplementary | Bibtex ] Pixelwise View Selection for Unstructured Multi-View
Stereo Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm
European Conference on Computer Vision (ECCV) [ Paper | Supplementary | Bibtex |
Video ] Indoor-Outdoor 3D Reconstruction Alignment Andrea Cohen, Johannes L.
Schönberger, Pablo Speciale, Torsten Sattler, Jan-Michael Frahm, Marc Pollefeys
European Conference on Computer Vision (ECCV) [ Paper | Supplementary | Bibtex |
Video ] Structure-from-Motion Revisited Johannes L. Schönberger, Jan-Michael
Frahm Conference on Computer Vision and Pattern Recognition (CVPR) [ Website |
Paper | Supplementary | Bibtex | Video ] From Dusk till Dawn: Modeling in the
Dark Filip Radenovic, Johannes L. Schönberger, Dinhuang Ji, Jan-Michael Frahm,
Ondrej Chum, Jiri Matas Conference on Computer Vision and Pattern Recognition
(CVPR) [ Paper | Supplementary | Bibtex | Video ]


2015

Efficient Two-View Geometry Classification Johannes L. Schönberger, Alexander C.
Berg, Jan-Michael Frahm German Conference on Pattern Recognition (GCPR) [ Paper
| Bibtex ] PAIGE: PAirwise Image Geometry Encoding for Improved Efficiency in
Structure-from-Motion Johannes L. Schönberger, Alexander C. Berg, Jan-Michael
Frahm Conference on Computer Vision and Pattern Recognition (CVPR) [ Paper |
Bibtex ] From Single Image Query to Detailed 3D Reconstruction Johannes L.
Schönberger, Filip Radenovic, Ondrej Chum, Jan-Michael Frahm Conference on
Computer Vision and Pattern Recognition (CVPR) [ Paper | Bibtex | Video ]
Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million
Image Dataset) Jared Heinly, Johannes L. Schönberger, Enrique Dunn, Jan-Michael
Frahm Conference on Computer Vision and Pattern Recognition (CVPR) [ Website |
Paper | Bibtex ]


2014

scikit-image: Image processing in Python Stéfan van der Walt, Johannes L.
Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil
Yager, Emmanuelle Gouillart, Tony Yu, scikit-image contributors PeerJ [ Website
| Paper | Bibtex ] Structure-from-motion for MAV image sequence analysis with
photogrammetric applications Johannes L. Schönberger, Friedrich Fraundorfer,
Jan-Michael Frahm Photogrammetric Computer Vision Symposium (PCV) [ Code | Paper
| Bibtex ] Benefit of Using Multiple Baselines and Multiple Aspects for SAR
Interferometry of Urban Areas Michael Schmitt, Johannes L. Schönberger, Uwe
Stilla IEEE Journal of Selected Topics in Applied Earth Observations and Remote
Sensing (JSTARS) [ Paper | Bibtex ] Adaptive Covariance Matrix Estimation for
Multi-Baseline InSAR Data Stacks Michael Schmitt, Johannes L. Schönberger, Uwe
Stilla IEEE Transactions on Geoscience and Remote Sensing (TGARS) [ Paper |
Bibtex ]


2013

Potential of Airborne Single-Pass Millimeterwave InSAR Data for Individual Tree
Recognition Michael Schmitt, Alex Brück, Johannes L. Schönberger, Uwe Stilla 33.
Wissenschaftlich Technische Jahrestagung der DGPF [ Paper | Bibtex ]




PROJECTS, TUTORIALS, WORKSHOPS

 * Localization and Mapping for Augmented Reality Paul-Edouard Sarlin, Mihai
   Dusmanu, Johannes L. Schönberger, Viktor Larsson, Ondrej Miksik, Marc
   Pollefeys European Conference on Computer Vision (ICCV) 2022
   
   [ Website ]

 * Image Matching: Local Features & Beyond Vassileios Balntas, Vincent Lepetit,
   Johannes L. Schönberger, Eduard Trulls, Kwand Moo Yi Conference on Computer
   Vision and Pattern Recognition (CVPR) 2019 Conference on Computer Vision and
   Pattern Recognition (CVPR) 2020
   
   [ Website ]

 * Long-Term Visual Localization Vassileios Balntas, Lars Hammarstrand, Huub
   Heijnen, Fredrik Kahl, Will Maddern, Krystian Mikolajczyk, Tomas Pajdla, Marc
   Pollefeys, Torsten Sattler, Johannes L. Schönberger, Pablo Speciale, Josef
   Sivic, Carl Toft, Akihiko Torii Conference on Computer Vision and Pattern
   Recognition (CVPR) 2019 European Conference on Computer Vision (ECCV) 2020
   
   [ Website (2019) | Website (2020) ]

 * Microsoft HoloLens 2 and Azure Kinect DK as Tools for Computer Vision
   Research Marc Pollefeys, Jamie Shotton, Silvano Galliani, Federica Bogo,
   Johannes L. Schönberger, Dorin Ungureanu Pooja Sama European Conference on
   Computer Vision (ECCV) 2020
   
   [ Website ]

 * Computer Vision Applications for Mixed Reality Headsets Marc Pollefeys,
   Federica Bogo, Johannes L. Schönberger, Osman Ulusoy Conference on Computer
   Vision and Pattern Recognition (CVPR) 2019
   
   [ Website ]

 * HoloLens as a Tool for Computer Vision Research Marc Pollefeys, Shivkumar
   Swaminathan, Johannes L. Schönberger, Andrew Fitzgibbon European Conference
   on Computer Vision (ECCV) 2018
   
   [ Website ]

 * COLMAP Structure-from-Motion and Multi-View Stereo Software
   
   [ Website ]

 * Large-­scale 3D Modeling Jan-Michael Frahm, Enrique Dunn, Marc Pollefeys,
   Jared Heinly, Johannes L. Schönberger Conference on Computer Vision and
   Pattern Recognition (CVPR) 2017
   
   [ Website ]

 * Large-­scale 3D Modeling from Crowdsourced Data Jan-Michael Frahm, Enrique
   Dunn, Jared Heinly, Johannes L. Schönberger International Conference on 3D
   Vision (3DV) 2016
   
   [ Website ]