Trevor Darrell

289 papers and 52.9k indexed citations i.

Trevor Darrell has authored 289 papers that have received a total of 52.9k indexed citations. This includes 224 papers in Computer Vision and Pattern Recognition, 141 papers in Artificial Intelligence and 25 papers in Control and Systems Engineering. The topics of these papers are Domain Adaptation and Few-Shot Learning (87 papers), Multimodal Machine Learning Applications (76 papers) and Advanced Image and Video Retrieval Techniques (75 papers). Trevor Darrell is often cited by papers focused on Domain Adaptation and Few-Shot Learning (87 papers), Multimodal Machine Learning Applications (76 papers) and Advanced Image and Video Retrieval Techniques (75 papers) and collaborates with scholars based in United States, Germany and Israel. Trevor Darrell's co-authors include Kate Saenko, Anna Rohrbach, Deepak Pathak, Fisher Yu and Marcus Rohrbach and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM