Saeed Saadatnejad
Scholar

Saeed Saadatnejad

Google Scholar ID: PBdhgFYAAAAJ
PhD, EPFL
Machine LearningComputer Vision
Citations & Impact
All-time
Citations
844
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Papers published at ICLR’24, CVPR 2025, ICRA’23; Projects: HHI-Assist dataset and benchmark, JRDB Trajectory challenge; Talks: Bosch-AI Research, Karlsruhe Institute of Technology (KIT), Amirkabir University of Technology, Sharif University of Technology; Organized events: ICCV Workshop on Visual Perception for Navigation in Human Environments.
Research Experience
  • Worked at Toyota Research Institute (TRI), did research internships at Disney Research and Valeo, and co-founded Pathy.
Education
  • PhD from EPFL; MS and BS in Computer Science and Electrical Engineering from Sharif University of Technology.
Background
  • Research interests: deep generative models (such as Normalizing Flows, VAEs, GANs, Diffusion models, etc.), and their applications in image synthesis, behavior prediction, and human motion prediction. Conducted research on analyzing failures of trajectory prediction models for self-driving cars using generative models and adversarial attacks.
Miscellany
  • More information about his professional experience is available on his personal website. A detailed CV/resume is available upon request.