- Yonsei University’s 20 Papers Selected at the 2021 CVPR April 19, 2021
Achieved the highest performance in history at the best international conference on computer vision
A total of 20 papers by Yonsei University were selected in the recent ‘2021 Conference on Computer Vision and Pattern Recognition (CVPR).’
As the world’s best academic conference in artificial intelligence (AI), CVPR is the conference that major Korean universities challenge every year to prove their excellence in AI. Yonsei University has achieved the highest performance in history of 20 papers, followed by Seoul National University, which has recorded 17 papers.
Yonsei University’s record this time is a result of cooperation between outstanding students and professors in a creative research environment. In particular, the School of Electrical and Electronic Engineering achieved a record of 11 papers.
Among them, the research team led by Professor Kwanghoon Sohn of the School of Electrical and Electronic Engineering achieved the feat of being selected the most papers among the single Korean labs, with a total of five papers.
CVPR, a conference with Google Scholar H5-index of 299, is the best international conference on computer vision that ranks first in all SCI journals and conferences in all engineering fields. Co-hosted by the Institute of Electrical and Electronics Engineers (IEEE) and the Computer Vision Foundation, a non-profit foundation, CVPR is considered as one of the three major academic conferences on computer vision, along with the ‘European Conference on Computer Vision (ECCV)’ and the ‘International Conference on Computer Vision (ICCV).’
Meanwhile, Yonsei University has recently adopted AI technology as a signature research field, and is providing full research support at the university level. The signature research cluster project is a project that supports multidisciplinary and international joint research in a research field that can reach world-class levels. In the AI field, research on multi-signal-based general-purpose social AI technology is currently ongoing.