Youngjae Yu
About
Youngjae Yu has authored 25 papers that have received a total of 678 indexed citations.
This includes 17 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 4 papers in Signal Processing. The topics of these papers are Multimodal Machine Learning Applications (16 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Human Pose and Action Recognition (9 papers). Youngjae Yu is often cited by papers focused on Multimodal Machine Learning Applications (16 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Human Pose and Action Recognition (9 papers) and collaborates with scholars based in South Korea, United States and United Kingdom. Youngjae Yu's co-authors include Gunhee Kim, Ximing Lu, Yejin Choi, Jack Hessel and Rowan Zellers and has published in prestigious journals such as Applied Catalysis B Environment and Energy, International Journal of Computer Vision and BMC Pregnancy and Childbirth.
In The Last Decade
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