Halla Mountain, Feb. 16, 2019

Halla Mountain, Feb. 16, 2019

31st IPIU Closing Ceremony, Feb. 15, 2019

31st IPIU Closing Ceremony, Feb. 15, 2019

Halla Mountain, Feb. 16, 2019

Cherry Blossom at SNU, Apr. 13, 2018

Welcome to the SNU Computer Vision Laboratory

Computer Vision Laboratory was founded at Seoul National University in 2003. Under supervision of Prof. Kyoung Mu Lee, various topics in computer vision field have been researched and developed. We mainly focus on developing algorithms to extract, reconstruct and recognize the information of object, person and 3D environments from digital images to have artificial intelligence close to human. We are interested in diverse computer vision tasks. Recently, our main research topics include:

  • Deep Learning
  • Image Restoration
  • Image Retrieval
  • Scene Understanding
  • Object Tracking / Segmentation
  • Human Pose Estimation
  • Medical Imaging
  • 3D Vision

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...

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...
ICCV 2019

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...

Invited Talk: Prof. C.-C Jay Kuo

Prof. C.-C Jay Kuo gave an invited talk on July 1st (Monday). Presenter: Prof. C.-C Jay Kuo Title: Interpretable Convolutional Neural Networks (CNNs) via Feedforward Design Abstract: Given a convolutional neural network (CNN) architecture, its network parameters are...

Invited Talk: Prof. Konstantinos G. Derpanis

Prof. Konstantinos G. Derpanis gave an invited talk on June 28th (Friday). Presenter: Prof. Konstantinos G. Derpanis Title: Who killed the domain expert? Abstract: It has been said that deep learning has eliminated the need for the domain expert. While the advent of...