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
Our team won the ‘First 3D Poses in the Wild Challenge’
Our team (Gyeongsik Moon, Hongsuk Choi, and Kyoung Mu Lee) won the 'First 3D Poses in the Wild Challenge.' The challenge was held in the '3D Poses in the Wild Challenge' workshop (3DPW-Challenge), in conjunction with ECCV 2020. In the 'No Association Track,' our team...
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8 Papers got accepted to ECCV 2020!
Under the supervision of Prof. Kyoung Mu Lee and Bohyung Han, we have 8 accepted papers in this year's ECCV (European Conference on Computer Vision). The upcoming ECCV will be held virtually from Aug. 23rd to 28th. Please congratulate the corresponding authors and...
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Prof. Kyoung Mu Lee has been awarded ‘the Hong-jo Medal of Merit Award’
Professor Kyoung Mu Lee has been awarded 'the Hong-jo Medal of Merit Award' from the Ministry of Science and ICT on April 21st, 2020. The Ceremony of 2020 Science and ICT Day was held at the Korean Science and Technology Center, hosted and supervised by the Ministry...
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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