Yale Song

40 papers and 1.6k indexed citations i.

Yale Song has authored 40 papers that have received a total of 1.6k indexed citations. This includes 34 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 11 papers in Signal Processing. The topics of these papers are Multimodal Machine Learning Applications (17 papers), Human Pose and Action Recognition (17 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Yale Song is often cited by papers focused on Multimodal Machine Learning Applications (17 papers), Human Pose and Action Recognition (17 papers) and Domain Adaptation and Few-Shot Learning (10 papers) and collaborates with scholars based in United States, United Kingdom and South Korea. Yale Song's co-authors include Randall Davis, Daniel McDuff, Shuang Ma, Gunhee Kim and Louis‐Philippe Morency and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Interactive Intelligent Systems