Profile

Seong Joon is an independent group leader at the University of Tübingen leading the group on Scalable Trustworthy AI (STAI). He is 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.

He has been a research scientist at NAVER AI Lab for 3.5 years. He received his PhD in computer vision and machine learning at Max-Planck Institute for Informatics in 2018, under the supervision of Bernt Schiele and Mario Fritz, with a focus on the privacy and security implications of CV and ML. He received the Master of Mathematics with Distinction in 2014 and Bachelor of Arts in Mathematics as a Wrangler in 2013, both at University of Cambridge.

Publications

• "Keep CALM and Improve Visual Feature Attribution", Jae Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh, IEEE International Conference of Computer Vision, ICCV 2021
• "Evaluating Weakly Supervised Object Localization Methods Right", Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020