Adriana Kovashka
About
Adriana Kovashka has authored 39 papers that have received a total of 667 indexed citations.
This includes 30 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. The topics of these papers are Multimodal Machine Learning Applications (23 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Adriana Kovashka is often cited by papers focused on Multimodal Machine Learning Applications (23 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Domain Adaptation and Few-Shot Learning (14 papers) and collaborates with scholars based in United States, Switzerland and India. Adriana Kovashka's co-authors include Kristen Grauman, Keren Ye, Mingda Zhang, Christopher Thomas and Rebecca Hwa and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding
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