Daniel Ulbricht

3 papers and 344 indexed citations i.

Daniel Ulbricht is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel Ulbricht has authored 3 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Electrical and Electronic Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Daniel Ulbricht’s work include Computer Graphics and Visualization Techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Daniel Ulbricht is often cited by papers focused on Computer Graphics and Visualization Techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Daniel Ulbricht collaborates with scholars based in Belgium and Germany. Daniel Ulbricht's co-authors include Chen‐Yu Lee, Mohammad Haris Baig, Tobias Schuster, Robert Brüll, Qi Shan, Liang Yang, Alex Colburn, Miguel Ángel Bautista and Joshua M. Susskind and has published in prestigious journals such as RSC Advances, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).