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Welcome! I am a doctoral student of Computer Science in the Computer Vision and Geometry Group at ETH Zürich, where I am advised by Marc Pollefeys (ETH) and co-advised by Jan-Michael Frahm (UNC).
I received my Bachelor of Science from TU Munich and my Master of Science from UNC Chapel Hill. I worked in the computer vision group at UNC, and in the Remote Sensing Technology and the Photogrammetry and Remote Sensing departments at TUM. 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 benchmarks (1, 2). Over the years, I also contributed to a number of 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. Note that all documents in the following list are preprints of the papers and the final print versions can be obtained from the respective publishers.
2018
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Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching European Conference on Computer Vision (ECCV)
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Learning Priors for Semantic 3D Reconstruction European Conference on Computer Vision (ECCV)
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VSO: Visual Semantic Odometry European Conference on Computer Vision (ECCV)
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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 ]
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