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