Ondrej Miksik
Scholar

Ondrej Miksik

Google Scholar ID: Q5CBlNcAAAAJ
Principal Scientist, Microsoft Spatial AI Lab Zurich
computer visionmachine learningmobile roboticsoptimization
Citations & Impact
All-time
Citations
2,639
 
H-index
17
 
i10-index
20
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • ECCV 2022: Benchmarking Localization and Mapping for Augmented Reality (LaMAR)
  • CVPR 2022: Learning To Detect Scene Landmarks for Camera Localization
  • ICCV 2021: Cross-Descriptor Visual Localization and Mapping
  • CORL 2021: Evaluating robot task planning over large 3D scene graphs (TASKOGRAPHY)
  • Building Proactive Voice Assistants: When and How (not) to Interact
  • CVPR 2017: A Rich Object Appearance Model with Application to Rotoscoping (ROAM)
  • CHI 2015: The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces
  • ICRA 2015: Incremental Dense Semantic Stereo Fusion for Large-Scale Semantic Scene Reconstruction
  • ICRA 2013: Efficient Temporal Consistency for Streaming Video Scene Analysis
Research Experience
  • Works at Microsoft Mixed Reality & AI Lab Zürich, focusing on developing systems for cloud-based localization and mapping from crowd-sourced data. Collaborates with ETH Zurich and other research institutions.
Education
  • Completed his PhD on semantic segmentation of large-scale 3D environments at the University of Oxford, co-advised by Phil Torr and Patrick Perez.
Background
  • Senior Scientist at Microsoft Mixed Reality & AI Lab Zürich, focusing on developing systems for cloud-based localization and mapping from crowd-sourced data. Believes in the synergy between industry and academia.
Miscellany
  • Open to research collaborations and ideas, please get in touch via email.
Co-authors
0 total
Co-authors: 0 (list not available)