Seonwook Park

Seonwook Park is a Researcher at Lunit Inc., focusing on advancing eye-tracking technology through deep learning. He earned his PhD in June 2020 from ETH Zurich's Department of Computer Science under the supervision of Prof. Dr. Otmar Hilliges.

His research bridges eye tracking and deep learning, aiming to make eye-tracking accessible in uncontrolled, everyday environments. This includes gaze estimation from monocular RGB images, real-time 3D gaze tracking, and self-learning transformations for gaze redirection. His work often intersects with computer vision and human-computer interaction, as seen in his contributions to UI adaptation via eye movement analysis.

His publication record spans top conferences like NeurIPS, ECCV, and ICCV, reflecting expertise in gaze estimation, hand pose estimation, and visual SLAM. Notably, he won the Best Presentation Award at ETRA 2018. He has supervised multiple theses, including MA and BA projects, and served as a teaching assistant for courses such as Machine Perception and Human-Computer Interaction at ETH Zurich.