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 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...
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Invited Talk: Prof. Bernt Schiele
Prof. Bernt Schiele gave an invited talk on August 12nd (Monday). Presenter: Prof. Bernt Schiele Title: The Bright and Dark Sides of Computer Vision and Machine Learning - Challenges and Opportunities for Privacy and Security Abstract: Computer Vision has been...
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Prof. Kyoung Mu Lee and Bohyung Han will serve as a General Chair and a Tutorial Chair in ICCV 2019
Prof. Kyoung Mu Lee and Bohyung Han will serve as a General Chair and a Tutorial Chair in ICCV 2019. Last year, Prof. Kyoung Mu Lee served as General Chair in ACM MM 2018. ICCV is the premier international computer vision event comprising the main conference and...
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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