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Sungyong David Baik


Assistant Professor at Hanyang University.


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About

I am an assistant professor in Department of Data Science at Hanyang University. I received my PhD degree at Seoul National University (SNU) Computer Vision Lab, advised by Prof. Kyoung Mu Lee. Previously, I was a research intern at Facebook Reality Labs in Redmond, USA. With my key research question "How can we endow machines with the ability to learn new concepts quickly and efficiently?" in mind, my research interests include meta-learning and applications that have only few data available.

I received the BASc degree in Engineering Science with a major in Electrical and Computer Engineering at the University of Toronto. I was once a semiconductor enthusiast and interned at Marvell Semiconductor. In my spare time, I enjoy wandering around and taking photos. I also try to make some time for playing the guitar.

  • Test-Time Adaptation for Video Frame Interpolation via Meta-Learning

    Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee

    TPAMI (IF:16.389), accepted

  • Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution

    Cheeun Hong, Heewon Kim, Sungyong Baik, Junghoon Oh, Kyoung Mu Lee

    WACV 2022

  • Batch Normalization Tells You Which Filter Is Important

    Junghoon Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee

    WACV 2022

  • Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation

    Sungyong Baik, Junghoon Oh, Seokil Hong, Kyoung Mu Lee

    TPAMI (IF:16.389), accepted

  • Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning

    Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee

    ICCV 2021 (Oral Presentation, 3% acceptance rate)

    [arXiv] [PDF] [Code] [Video] [Poster]
  • Searching for Controllable Image Restoration Networks

    Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee

    ICCV 2021

    [arXiv] [PDF] [Video] [Poster]
  • Meta-Learning with Adaptive Hyperparameters

    Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee

    NeurIPS 2020

    [arXiv] [PDF] [Code]
  • Domain Adaptation of Learned Features for Visual Localization

    Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney

    BMVC 2020

    [arXiv] [PDF] [Video]
  • Learning to Forget for Meta-Learning

    Sungyong Baik, Seokil Hong, Kyoung Mu Lee

    CVPR 2020

    [arXiv] [PDF] [Code] [Video]
  • Scene-Adaptive Video Frame Interpolation via Meta-Learning

    Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee

    CVPR 2020

    [arXiv] [PDF] [Code] [Project] [Video]
  • Learning to Remember Past to Predict Future for Visual Tracking

    Sungyong Baik, Junseok Kwon, Kyoung Mu Lee

    ICIP 2019

    [PDF]
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