Seokil Hong

4 papers and 270 indexed citations i.

Seokil Hong has authored 4 papers that have received a total of 270 indexed citations. This includes 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Geophysics. 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 (2 papers). Seokil Hong 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 (2 papers) and collaborates with scholars based in South Korea and Switzerland. Seokil Hong's co-authors include Kyoung Mu Lee, Sungyong Baik, Seungjun Nah, Gyeongsik Moon and Sanghyun Son and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence