Scholar
Leonard Bruns
Google Scholar ID: it2FrfsAAAAJ
Niantic Spatial
Citations & Impact
Citations
151
H-index
5
i10-index
5
Publications
14
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several papers, such as 'Improving Generalization of Scene Coordinate Regression Through Query Pre-Training', 'Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration', 'Transitional Grid Maps: Efficient Analytical Inference of Dynamic Environments under Limited Sensing', etc.; Participated in multiple international conferences, such as ICCV, WACV, IROS, etc.
Research Experience
- Computer Vision Researcher at Niantic Spatial; involved in multiple research projects including ACE-G, Neural Graph Map, Transitional Grid Maps, etc.
Education
- Master's Degree, 2019; PhD Candidate, KTH
Background
- A computer vision researcher working at Niantic Spatial and a PhD candidate at KTH. Main research interests lie at the intersection of 3D computer vision and robotics (and to a lesser degree, computer graphics). Particularly interested in the development of algorithms for robot perception such as pose and shape estimation of objects from partial information, dense SLAM, and visual relocalization.
Co-authors