Samuel Schulter

20 papers and 1.4k indexed citations i.

About

Samuel Schulter has authored 20 papers that have received a total of 1.4k indexed citations. This includes 17 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 3 papers in Geology. The topics of these papers are Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (8 papers) and Advanced Neural Network Applications (6 papers). Samuel Schulter is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (8 papers) and Advanced Neural Network Applications (6 papers) and collaborates with scholars based in United States, Austria and The Netherlands. Samuel Schulter's co-authors include Manmohan Chandraker, Buyu Liu, Yi–Hsuan Tsai, Yumin Suh and Bingbing Zhuang and has published in prestigious journals such as Journal on Computing and Cultural Heritage

In The Last Decade

Rankless by CCL
2025