Seungjun Nah

Autonomous Vision Guest Scientist

Education

Mar 2014 - Current Integrated Ph.D. program in Computer Vision
  Seoul National University, Seoul, Korea
School of Electrical and Computer Engineering
Supervisor: Kyoung Mu Lee
 
Mar 2010 - Feb 2014      B.S. in Electrical and Computer Engineering
  Seoul National University, Seoul, Korea
School of Electrical and Computer Engineering

Publications

Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte and Kyoung Mu Lee, “NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study,” CVPRW 2019

Seungjun Nah, Sanghyun Son, and Kyoung Mu Lee, ”Recurrent Neural Networks with Intra-Frame Iterations for Video Deblurring,” CVPR 2019

• Sanghyun Son, Seungjun Nah, and Kyoung Mu Lee, ”Clustering Convolutional Kernels to Compress Deep Neural Networks,” ECCV 2018

• Tae Hyun Kim, Seungjun Nah, and Kyoung Mu Lee, ”Dynamic Video Deblurring using a Locally Adaptive Linear Blur Model,” PAMI 2018

Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee, ”Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring,” CVPR 2017 (Spotlight)

• Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee, ”Enhanced Deep Residual Networks for Single Image Super-Resolution,” 2nd NTIRE Workshop, CVPRW 2017. (Challenge Winner, Workshop Best Paper)


Experiences

Apr 2019 - Oct 2019       Guest Scientist
  Max Planck Institute for Intelligent Systems, Tübingen, Germany
  Autonomous Vision Group
  Supervisor: Andreas Geiger
May 2017 - Aug 2017 Research Intern
  Microsoft Research, Redmond, WA, USA
  Supervisor: Sing Bing Kang