Dániel Baráth

Dr. Dániel Baráth advances AI through robust 3D computer vision, minimal solvers, and real-time semantic mapping.

Professional profile

Dr. Dániel Baráth is a Lecturer in the Department of Computer Science at ETH Zürich, working in the framework of the Computer Vision and Geometry Group. His research is centered on computer vision, with a strong focus on robust estimation, minimal solvers, and 3D geometry—tools that help make vision systems more reliable in challenging real‑world settings.

He earned his PhD from Eötvös Loránd University in 2019, and gained broad international experience through postdoctoral positions at the HUN‑REN Institute for Computer Science and Control (HUN-REN SZTAKI) in Budapest and at the Czech Technical University in Prague. In 2021, he joined ETH Zürich, where he continues to advance research at the intersection of geometry and vision.

Dr. Baráth regularly publishes at top computer vision conferences, including ECCV, ICCV, and CVPR. A recent highlight of his work was at ECCV 2024, where nine of his papers were accepted, covering topics such as language‑based scene retrieval, real‑time semantic 3D mapping, and joint approaches to feature matching and robust estimation. His work reflects both depth in theory and strong relevance to practical vision systems.