Julian Kooij
Scholar

Julian Kooij

Google Scholar ID: Uq5KrMoAAAAJ
Associate Professor, Delft University of Technology
Intelligent VehiclesDeep LearningComputer VisionAutonomous Driving
Citations & Impact
All-time
Citations
2,328
 
H-index
23
 
i10-index
37
 
Publications
20
 
Co-authors
30
list available
Resume (English only)
Academic Achievements
  • Published several papers including 'NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits' (2026), 'The Overlooked Value of Test-time Reference Sets in Visual Place Recognition' (2025), and more.
Research Experience
  • Works on intelligent vehicle perception and learning, focusing on crowded urban settings. Applies deep learning and probabilistic models to automatically detect objects and predict traffic situations from multi-modal data.
Background
  • Associate Professor at the Intelligent Vehicles group, part of the Cognitive Robotics department of the Mechanical Engineering faculty, TU Delft, The Netherlands. Research interests include multi-modal environment perception, deep learning, and probabilistic models for intelligent vehicles.