About
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. As a research assistant, I worked in the computer vision group at UNC, and in the Remote Sensing Technology and the Photogrammetry and Remote Sensing departments at TUM. As an intern, I spent time at Google and the German Aerospace Center.
Research
My research interests lie in computer vision, geometry, structure-from-motion, (multi-view) stereo, localization, optimization, machine learning, and image processing. More generally, my research is mostly about inferring the physical world (structure, shape, motion, appearance, etc.) from imagery. You can find my publications on Google Scholar.
Code
Over the years, I contributed to a number of scientific open-source projects, including COLMAP, scikit-image, scikit-learn, NumPy, SciPy, Ceres-Solver, etc. You can find my open-source activities on GitHub.
Publications [Google Scholar]
2017
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Comparative Evaluation of Hand-Crafted and Learned Local Features Conference on Computer Vision and Pattern Recognition (CVPR)
Project / 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)
Project / Paper / Supplementary / Bibtex
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Tutorial: Large-scale 3D Modeling from Crowdsourced Data Conference on Computer Vision and Pattern Recognition (CVPR)
2016
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A Vote-and-Verify Strategy
for Fast Spatial Verification in Image Retrieval Asian Conference on Computer Vision (ACCV)Project / Paper / Supplementary / Bibtex
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Tutorial: Large-scale 3D Modeling from Crowdsourced Data International Conference on 3D Vision (3DV)
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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)
Project / 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) -
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) -
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) -
Adaptive Covariance Matrix Estimation
for Multi-Baseline InSAR Data Stacks IEEE Transactions on Geoscience and Remote Sensing (TGARS)