I am an Assistant Professor at the Centre for Mathematical Sciences at Lund University working in Computer Vision and Machine Learning. Previously I worked as a PostDoc and senior researcher at the Computer Vision and Geometry group lead by Marc Pollefeys at ETH Zurich
My research is mainly focused on robust estimation problems that appear in 3D computer vision (e.g. Structure-from-Motion, visual localization, SLAM, and dense geometry estimation). Currently I am exploring how to best integrate deep learning with classical geometry-based pipelines. In particular, identifying and replacing hand-crafted heuristics or implicit assumptions with more data-driven alternatives.
I am looking for talented students (PhD/MSc) who are interested in doing exciting research in computer vision, geometry and machine learning.
|Mar 2022||Three papers accepted for CVPR 2022.|
|Oct 2021||Our paper Pixel-Perfect Structure-from-Motion with Featuremetric Refinement won the Best Student Paper award at ICCV 2021. You can check it out here.|
|Jul 2021||Three papers accepted for ICCV 2021.|
|Mar 2021||Four papers accepted for CVPR 2021.|
|Jul 2020||Five papers accepted for ECCV 2020.|
|Mar 2020||Three papers accepted for CVPR 2020.|
|Jul 2019||Two papers accepted for ICCV 2019.|
|Mar 2019||One paper accepted for CVPR 2019. I am also part of organizing a tutorial on minimal solvers.|