Kristen Grauman
About
Kristen Grauman has authored 165 papers that have received a total of 10.9k indexed citations.
This includes 145 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 21 papers in Signal Processing. The topics of these papers are Advanced Image and Video Retrieval Techniques (64 papers), Multimodal Machine Learning Applications (49 papers) and Domain Adaptation and Few-Shot Learning (38 papers). Kristen Grauman is often cited by papers focused on Advanced Image and Video Retrieval Techniques (64 papers), Multimodal Machine Learning Applications (49 papers) and Domain Adaptation and Few-Shot Learning (38 papers) and collaborates with scholars based in United States, Israel and India. Kristen Grauman's co-authors include Fei Sha, Sudheendra Vijayanarasimhan, Trevor Darrell, Adriana Kovashka and Yong Jae Lee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Tourism Management
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