Philip Haeusser

3 papers and 247 indexed citations i.

Philip Haeusser is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Philip Haeusser has authored 3 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Materials Chemistry. Recurrent topics in Philip Haeusser’s work include Domain Adaptation and Few-Shot Learning (2 papers), Mechanical and Optical Resonators (1 paper) and Human Pose and Action Recognition (1 paper). Philip Haeusser is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Mechanical and Optical Resonators (1 paper) and Human Pose and Action Recognition (1 paper). Philip Haeusser collaborates with scholars based in United States, Germany and Taiwan. Philip Haeusser's co-authors include Daniel Cremers, Alexander Mordvintsev, David Hunger, Huan‐Cheng Chang and Helmut Fedder and has published in prestigious journals such as Physical Review Applied.