ResearchGate
LinkedInAbout
Welcome! I recently joined the Microsoft Mixed Reality and AI lab in Zürich as a senior scientist. Before, I obtained my PhD in Computer Science in the Computer Vision and Geometry Group at ETH Zürich, where I was advised by Marc Pollefeys and co-advised by Jan-Michael Frahm. I received my BSc from TU Munich and my MSc from UNC Chapel Hill. In addition, I also spent time at Microsoft Research, Google, and the German Aerospace Center.
Research
My main research interests lie in robust image-based 3D modeling. More broadly, I am interested in computer vision, geometry, structure-from-motion, (multi-view) stereo, localization, optimization, machine learning, and image processing. You can find my publications on Google Scholar.
Open Source
As part of my research, I developed the open-source software COLMAP - an end-to-end image-based 3D reconstruction software, which achieves state-of-the-art results on recent reconstruction benchmarks (1, 2). Over the years, I also contributed to a number of other scientific open source projects, including scikit-image, scikit-learn, NumPy, SciPy, Ceres-Solver, etc. You can find my open source activities on GitHub.
Publications
You can find my publications on Google Scholar and ResearchGate.
2018
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Robust Methods for Accurate and Efficient 3D Modeling from Unstructured Imagery PhD Thesis
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Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching European Conference on Computer Vision (ECCV)
[ Paper | Supplementary | Bibtex ]
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Learning Priors for Semantic 3D Reconstruction European Conference on Computer Vision (ECCV)
[ Paper | Supplementary | Bibtex ]
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VSO: Visual Semantic Odometry European Conference on Computer Vision (ECCV)
[ Paper | Supplementary | Bibtex ]
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Semantic Visual Localization Conference on Computer Vision and Pattern Recognition (CVPR)
[ Paper | Supplementary | Bibtex ]
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Augmenting Crowd-Sourced 3D Reconstructions using Semantic Detections Conference on Computer Vision and Pattern Recognition (CVPR)
[ Paper | Supplementary | Bibtex ]
2017
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Comparative Evaluation of Hand-Crafted and Learned Local Features Conference on Computer Vision and Pattern Recognition (CVPR)
[ Benchmark | Paper | Supplementary | Bibtex ]
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A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos Conference on Computer Vision and Pattern Recognition (CVPR)
[ Benchmark | Paper | Supplementary | Bibtex ]
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Mapping on the Fly: Real-Time 3D Dense Reconstruction, Digital Surface Map and Incremental Orthomosaic Generation for Unmanned Aerial Vehicles International Conference on Field and Service Robotics (FSR)
[ Code | Paper | Supplementary | Bibtex ]
2016
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A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval Asian Conference on Computer Vision (ACCV)
[ Code | Paper | Supplementary | Bibtex ]
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Pixelwise View Selection for Unstructured Multi-View Stereo European Conference on Computer Vision (ECCV)
[ Paper | Supplementary | Bibtex | Video ]
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Indoor-Outdoor 3D Reconstruction Alignment European Conference on Computer Vision (ECCV)
[ Paper | Supplementary | Bibtex | Video ]
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Structure-from-Motion Revisited Conference on Computer Vision and Pattern Recognition (CVPR)
[ Website | Paper | Supplementary | Bibtex | Video ]
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From Dusk till Dawn: Modeling in the Dark Conference on Computer Vision and Pattern Recognition (CVPR)
[ Paper | Supplementary | Bibtex | Video ]
2015
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Efficient Two-View Geometry Classification German Conference on Pattern Recognition (GCPR) Best Paper Honorable Mention
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PAIGE: PAirwise Image Geometry Encoding for Improved Efficiency in Structure-from-Motion Conference on Computer Vision and Pattern Recognition (CVPR)
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From Single Image Query to Detailed 3D Reconstruction Conference on Computer Vision and Pattern Recognition (CVPR)
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Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset) Conference on Computer Vision and Pattern Recognition (CVPR)
2014
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scikit-image: Image processing in Python PeerJ
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Structure-from-motion for MAV image sequence analysis with photogrammetric applications Photogrammetric Computer Vision Symposium (PCV)
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Benefit of Using Multiple Baselines and Multiple Aspects for SAR Interferometry of Urban Areas IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
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Adaptive Covariance Matrix Estimation for Multi-Baseline InSAR Data Stacks IEEE Transactions on Geoscience and Remote Sensing (TGARS)
2013
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Potential of Airborne Single-Pass Millimeterwave InSAR Data for Individual Tree Recognition 33. Wissenschaftlich Technische Jahrestagung der DGPF