Youngjin Kim

12 papers and 340 indexed citations i.

Youngjin Kim has authored 12 papers that have received a total of 340 indexed citations. This includes 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Finance. The topics of these papers are Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Youngjin Kim is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers) and collaborates with scholars based in South Korea, United States and Philippines. Youngjin Kim's co-authors include Gunhee Kim, Yunseok Jang, Yale Song, Youngjae Yu and Jihong Kim and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision