Welcome to the SNU Computer Vision Laboratory
Computer Vision Laboratory was founded at SNU in 2003. Under supervision of Prof. Kyoung Mu Lee, various topics in computer vision field have been researched and developed. We mainly focus on extracting, reconstructing and recognizing the information of object, person and 3D environments from digital images to have artificial intelligence close to human. Recently, our main interests include: Deep Learning, Image Restoration, Image Retrieval, Scene Understanding, Object Tracking / Segmentation, Human Pose Estimation, Medical Imaging, and 3D Vision.
Recent Publications
NEWS
Prof. Kyoung Mu Lee has received the Korean Scientist and Engineer of the Month Award
Professor Kyoung Mu Lee has received the Korean Scientist and Engineer of the Month Award (이달의 과학기술인상) from the Ministry of Science and ICT of Korea (Feb. 2018). The award has been established to promote the morale of science and technology people by discovering and...
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Our team won the first place in The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation Challenge
Our team (Gyeongsik Moon and KyoungMu Lee) won the first place in 'The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation Challenge'. The challenge was held with The 3rd Workshop on Observing and Understanding Hands in Action (HANDS 2017), ICCV 2017....
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Our team won the first place in the 2nd NTIRE Single Image Super-Resolution Challenge
Our team (Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and KyoungMu Lee) won the 1st place in the 2nd NTIRE Single Image Super-Resolution Challenge. The Challenge was held with the 2nd NTIRE workshop, CVPR2017. See our paper for the details. Our codes are also...
read moreWelcome to the SNU Computer Vision Laboratory
Computer Vision Laboratory was founded at SNU in 2003. Under supervision of Prof. Kyoung Mu Lee, various topics in computer vision field have been researched and developed. We mainly focus on extracting, reconstructing and recognizing the information of object, person and 3D environments from digital images to have artificial intelligence close to human. Recently, our main interests include: Deep Learning, Image Restoration, Scene Understanding, Object Tracking / Segmentation, Human Pose Estimation, Medical Imaging, and 3D Vision.
Recent Publications
NEWS
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