Scholar
Oğuzhan Fatih Kár
Google Scholar ID: Ojtk2_MAAAAJ
Apple
Citations & Impact
Citations
754
H-index
9
i10-index
9
Publications
20
Co-authors
18
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published papers in top conferences such as NeurIPS, ECCV, ICLR, and received oral presentations for several papers; involved in multiple research projects including 4M-21, BRAVE, Rapid Network Adaptation, etc.; selected as a top reviewer for NeurIPS 2024.
Research Experience
- Student researcher at Google Zurich, focusing on multimodal foundation models; gave talks at ETH Zurich, KAUST Rising Stars in AI Symposium, and AIP RIKEN TrustML Young Scientist Seminar.
Education
- Ph.D. in Computer Science from EPFL, advised by Amir Zamir, expected to graduate in 2025; M.S. in Electrical and Electronics Engineering from METU, advised by Figen Oktem, graduated in 2019; B.S. in Electrical and Electronics Engineering from METU, graduated in 2017.
Background
- Ph.D. student in Computer Science with research interests in building robust, adaptive, and multimodal perception systems that can scale and operate in the real world. Recent works include BRAVE, 4M & 4M-21, Rapid Network Adaptation, 3D Common Corruptions, and Cross-Domain Ensembles.
Miscellany
- Conducted research on robustness and uncertainty estimation for visual perception; master's work focused on developing high-resolution and compressive reconstruction techniques for computational imaging.
