Jaehong Yoon

3 papers and 58 indexed citations i.

Jaehong Yoon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Jaehong Yoon has authored 3 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Jaehong Yoon’s work include Multimodal Machine Learning Applications (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Jaehong Yoon is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Jaehong Yoon collaborates with scholars based in South Korea and United States. Jaehong Yoon's co-authors include Sung Ju Hwang, Eunho Yang, Saehoon Kim, Zhang Xiao-hui and Huaxiu Yao and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Machine Learning and International Conference on Learning Representations.