Seokil Hong

4 papers and 296 indexed citations i.

Seokil Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geophysics. According to data from OpenAlex, Seokil Hong has authored 4 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Geophysics. Recurrent topics in Seokil Hong’s work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (2 papers). Seokil Hong is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (2 papers). Seokil Hong collaborates with scholars based in South Korea and Switzerland. Seokil Hong's co-authors include Kyoung Mu Lee, Sungyong Baik, Radu Timofte, Gyeongsik Moon, Sanghyun Son, Seungjun Nah, Dong-Min Park and Bohyung Han and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).