Jeff Donahue
About
Jeff Donahue has authored 20 papers that have received a total of 24.5k indexed citations.
This includes 18 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Jeff Donahue is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers) and collaborates with scholars based in United States, United Kingdom and China. Jeff Donahue's co-authors include Trevor Darrell, Kate Saenko, Judy Hoffman, Eric Tzeng and Sergio Guadarrama and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision
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