Scholar
Seong Joon Oh
Google Scholar ID: kmXOOdsAAAAJ
University of Tübingen
Citations & Impact
Citations
14,314
H-index
35
i10-index
46
Publications
20
Co-authors
114
list available
Publications
Resume (English only)
Academic Achievements
- 4 papers accepted @ NeurIPS'25: C-SEO Bench, Visual Embedding Rankability, Diffusion Classifier Compositionality, Open-vocabulary Segmentation; 1 paper accepted @ EMNLP'25: Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers; 1 paper on compositional generalisation accepted at ICML'25; 1 paper on making MIA work accepted at NAACL'25.
Research Experience
- Worked as a research scientist at NAVER AI Lab for 3.5 years; also advises Parameter Lab.
Education
- Received PhD in computer vision and machine learning from Max-Planck Institute for Informatics in 2018, under the supervision of Bernt Schiele and Mario Fritz, focusing on the privacy and security implications of CV and ML; Master of Mathematics with Distinction in 2014 and Bachelor of Arts in Mathematics as a Wrangler in 2013, both at the University of Cambridge.
Background
- Professor at the University of Tübingen leading the group on Scalable Trustworthy AI (STAI); generally interested in training reliable models (e.g., explainable, robust, and probabilistic models) and obtaining the necessary human supervision and guidance in a cost-effective way.
Miscellany
- Started compiling the principles for life and research.
