Mahdi Rad
Scholar

Mahdi Rad

Google Scholar ID: s4StGjwAAAAJ
Microsoft
Computer VisionDeep LearningAugmented RealityPose Estimation
Citations & Impact
All-time
Citations
2,714
 
H-index
18
 
i10-index
21
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top international conferences such as ICCV, ECCV, CVPR, including MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans (ICCV 2021, ORAL), General 3D Room Layout from a Single View by Render-and-Compare (ECCV, 2020), etc.
Research Experience
  • Senior Scientist at Microsoft Mixed Reality & AI Lab in Zurich. Former postdoctoral scholar at the Institute of Computer Graphics and Vision, Graz University of Technology (TUG).
Education
  • Received Ph.D. degree with distinction from Graz University of Technology (TUG) in 2018, under the supervision of Prof. Vincent Lepetit; obtained B.Sc. and M.Sc. degrees in Computer Science from EPFL, Switzerland, in 2012 and 2014.
Background
  • Research interests include machine learning methods for computer vision, specifically methods for 3D scene understanding, 3D object pose estimation, 3D hand pose estimation, hand-object interaction, semi-supervised learning, and domain adaptation.