Scholar
Julian Ost
Google Scholar ID: mUbWwU4AAAAJ
Princeton University
Citations & Impact
Citations
446
H-index
2
i10-index
2
Publications
7
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published papers in Nature Machine Intelligence on generalizable and interpretable 3D tracking using inverse neural rendering; CVPR 2022 on Neural Point Light Fields; Oral presentation at CVPR 2021 on Neural Scene Graphs for dynamic scenes. Service: Outstanding Reviewer Award for ECCV 2024, CVPR 2023; reviewer for ICCV 2025, CVPR 2025, and more.
Research Experience
- PhD candidate at the Princeton Computational Imaging Lab, involved in multiple research projects such as Generalizable and Interpretable Three-Dimensional Tracking with Inverse Neural Rendering, Neural Point Light Fields, and Neural Scene Graphs for Dynamic Scenes.
Education
- PhD in Computer Science from Princeton University, advised by Felix Heide; M.Sc. in Robotics from Technical University of Munich (TUM); B.Sc. in Mechanical Engineering from TUM.
Background
- Research Interests: Intersection of computer vision and computer graphics, particularly in 3D generation and inverse rendering. Professional Background: PhD candidate in Computer Science at Princeton University.
Miscellany
- Teaching: Graduate Teaching Assistant for COS324 Intro to Machine Learning (Fall 2024), COS429 Intro to Computer Vision (Spring 2024).
Co-authors