Scholar
Lukas Hoyer
Google Scholar ID: rw4oNkYAAAAJ
ETH Zürich
Citations & Impact
Citations
2,147
H-index
12
i10-index
15
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance', which proposes integrating rich priors from VLM pre-training into semi-supervised semantic segmentation to learn better semantic decision boundaries.
Research Experience
- Research Scientist at Google Zurich since Aug 2024; Student Researcher at Google Zurich, working on Vision-Language Models from Apr 2023 to Nov 2023; PreMaster Program at Bosch Center for Artificial Intelligence, focusing on Explainable Artificial Intelligence from Feb 2019 to Jul 2019; Research Internship at Bosch Center for Artificial Intelligence, working on Environment Representations for Deep Learning from Oct 2018 to Dec 2018.
Education
- Ph.D. at the Computer Vision Lab, ETH Zurich, supervised by Prof. Luc Van Gool from Sep 2021 to Jun 2024; M.Sc. in Robotics, Systems and Control, ETH Zurich, awarded the ETH Medal for an outstanding Master’s thesis from Sep 2019 to Jun 2021; B.Sc. in Computer Systems in Engineering, Otto von Guericke University Magdeburg, Germany, Best Graduate at the Computer Science Department 2018/19 from Oct 2015 to Jan 2019.
Background
- Research interests include domain-robust and label-efficient visual scene understanding, including domain-adaptive, domain-generalizable, semi-supervised, self-supervised, language-guided, and generative learning. During his Ph.D., he interned at Google to work on vision-language models for label-efficient semantic segmentation.
Miscellany
- No personal interests mentioned.
