Niklas Gard
Scholar

Niklas Gard

Google Scholar ID: sOeqBIAAAAAJ
Fraunhofer Heinrich Hertz Institute
Augmented RealityComputer VisionPose Estimation
Citations & Impact
All-time
Citations
304
 
H-index
6
 
i10-index
4
 
Publications
19
 
Co-authors
9
list available
Publications
19 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications:
  • - "SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments" accepted as an ECCV 2024 paper with oral presentation.
  • - "X-maps: Direct Depth Lookup for Event-based Structured Light Systems" accepted at the CVPR 2023 Workshop on Event-based Vision.
  • - The source code for "CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation" is available on GitHub.
Research Experience
  • From March 2016 to April 2017, he was part of the Capture & Display Systems Group at Fraunhofer HHI. From April 2017 to March 2020, he was also a member of the Visual Computing Research Group at Humboldt University of Berlin. Currently, he is involved in the collaborative research projects BIMKIT and EConoM. Before that, he participated in the research projects 3DInMed, Easy Cohmo, and DigitalTWIN.
Education
  • Graduated from the University of Koblenz-Landau with a Master of Science (M.Sc.) degree in Computervisualistik in 2015. From 2012 to 2015, he worked as a student assistant in the Research Group Artificial Intelligence at the University of Koblenz-Landau.
Background
  • Research Interests: Computer Vision and Graphics. Professional field: Computer Vision and Graphics Processing.