Chris Dongjoo Kim

2 papers and 46 indexed citations i.

Chris Dongjoo Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Chris Dongjoo Kim has authored 2 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Civil and Structural Engineering. Recurrent topics in Chris Dongjoo Kim’s work include Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (1 paper) and Multimodal Machine Learning Applications (1 paper). Chris Dongjoo Kim is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (1 paper) and Multimodal Machine Learning Applications (1 paper). Chris Dongjoo Kim collaborates with scholars based in South Korea and United States. Chris Dongjoo Kim's co-authors include Gunhee Kim, Yale Song, Yunseok Jang, Youngjin Kim, Youngjae Yu and Sangwoo Moon and has published in prestigious journals such as International Journal of Computer Vision and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).