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
Gyeongsik Moon and Sungyong Baik won the ‘Qualcomm Innovation Fellowship Korea 2020’
Qualcomm Korea has announced that 20 papers are selected as recipients of the Qualcomm Innovation Fellowship Korea 2020. This year, the ceremony was held online to prevent COVID-19 infections. The program is an academic paper contest that supports research...
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Prof. Kyoung Mu Lee is selected as IEEE Fellow!
SNU College of Engineering has announced that Prof. Kyung Mu Lee has been selected as IEEE Fellow, the highest level of membership. Election to the grade of IEEE Fellow is one of the highest honors that can be bestowed upon IEEE members by the Institute in recognition...
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Gyeongsik Moon won the ‘2020 Google Ph.D. Fellowship’
Google has announced that a total of 53 people were selected for the "2020 Google Ph.D. Fellowship Recipients" program at universities. Among 53 recipients around the world, two Ph.D. students Gyeongsik Moon (Machine Perception, Speech Technology and Computer Vision)...
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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