Resume
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.