Zuzana Kukelova
Scholar

Zuzana Kukelova

Google Scholar ID: M4a3VyYAAAAJ
Assistant Professor, Czech Technical University in Prague
Computer visionMinimal problemsAlgebraic geometry
Citations & Impact
All-time
Citations
1,857
 
H-index
26
 
i10-index
49
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Recipient of a GAČR JUNIOR STAR 5-year grant; Published multiple papers at CVPR 2023, ICCV 2023, etc.; Program Chair of ECCV 2026; Co-organizer of ICCV 2023 Tutorial on Camera Geometry Problems in Computer Vision; General Chair of 3DV 2022; Invited talk at AI Czechia Seminar.
Research Experience
  • Serves as an Assistant Professor at Czech Technical University in Prague, leading a research team of 3 PhD students and 2 Postdocs focused on combining learning-based and algebraic approaches for camera geometry estimation.
Education
  • Information not provided
Background
  • Assistant Professor at Czech Technical University in Prague, working in the fields of Computer Vision and Algebraic Geometry. Her research focuses on algebraic methods for solving systems of polynomial equations with applications in camera geometry estimation and robotics.
Miscellany
  • Hobbies and other personal interests not provided