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Management and Support
Computer Vision, Optimization with Learning, Robot Learning, UX and Ethnography
Group Lead
Martin leads research in AI for Robotics at NAVER LABS Europe. This research is focussed on the fundamental and real-world challenges that AI can help us solve to make robots more integrated in our everyday lives. Examples of these challenges are how to make robots robust and reliable when operating in dynamic, complicated environments and how to teach them to do new things with only minimal human supervision.
He joined NAVER LABS Europe in December 2017 as a Senior Scientist in 3D computer vision. Since September 2018 he leads the 3D Vision team. He earned his Master's degree in computer engineering at the Upper Austrian University of Applied Science Hagenberg in 2004 and he finished his Ph.D. studies in electrical engineering at Vienna University of Technology in 2011 with distinction before he joined AIT Austrian Institute of Technology. He spent a year at NASA's Jet Propulsion Laboratory as Caltech Postdoc.
His personal research interests are 3D vision, visual localization, camera pose estimation, visual features, image retrieval, and, in particular, combining machine learning with geometry.
Google Scholar
Software:
- kapture - a unified dataformat for visual localization (project description, paper, code)
- kapture toolbox
- R2D2: Repeatable and Reliable Detector and Descriptor (paper, code)
Datasets:
