Kate Saenko

124 papers and 14.7k indexed citations i.

Kate Saenko has authored 124 papers that have received a total of 14.7k indexed citations. This includes 103 papers in Computer Vision and Pattern Recognition, 85 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Multimodal Machine Learning Applications (67 papers), Domain Adaptation and Few-Shot Learning (61 papers) and Human Pose and Action Recognition (31 papers). Kate Saenko is often cited by papers focused on Multimodal Machine Learning Applications (67 papers), Domain Adaptation and Few-Shot Learning (61 papers) and Human Pose and Action Recognition (31 papers) and collaborates with scholars based in United States, Germany and Canada. Kate Saenko's co-authors include Trevor Darrell, Stan Sclaroff, Judy Hoffman, Marcus Rohrbach and Subhashini Venugopalan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision