Dr Dániel Baráth is a Lecturer in the Department of Computer Science at ETH Zürich, where he is part of the Computer Vision and Geometry Group. His research focuses on computer vision, with a particular emphasis on robust estimation, minimal solvers, and 3D geometry.
Dr Baráth completed his PhD at Eötvös Loránd University in 2019. He then held postdoctoral positions at the Machine Perception Research Laboratory of the HUN-REN Institute for Computer Science and Control (HUN-REN SZTAKI) in Budapest and at the Faculty of Electrical Engineering at Czech Technical University in Prague, before joining ETH Zürich in 2021.
His recent publications include contributions to major conferences such as the European Conference on Computer Vision (ECCV), the International Conference on Computer Vision (ICCV), and the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Notably, in June 2024, nine of his papers were accepted to ECCV 2024, covering topics such as scene retrieval with language, real-time quality-adaptive semantic 3D maps, and joint feature matching and robust estimation.