Dahun Kim [cv]

        Ph.D. Candidate
     Robotics and Computer Vision Laboratory
     Korea Advanced Institute of Science and Technology (KAIST)


Research Interests
  • Deep Learning
    •  Weakly-supervised learning  
    •  Representation learning 
    •  Multi-task learning
    •  Unsupervised learning

  • Computer Vision
    •  Semantic segmentation 
    •  Object recognition
    •  Image style transfer
    •  Video representation
    •  Scene graph generation,

  • Ph.D., KAIST - Electrical Engineering                                                                                                                                         2018.03 - present
    Advisor: prof. In So Kweon

  • M.S., KAIST - Electrical Engineering                                                                                                                                          2016.03 - 2018.02
    Advisor: prof. In So Kweon

  • B.S., KAIST - Electrical Engineering                                                                                                                                           2012.02 - 2016.02 

  • High School Diploma, Korea Science Academy                                                                                                                         2009.03 - 2012.02 

    International Publications

    • Learning Image Representations by Completing Damaged Jigsaw Puzzles
      Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
      IEEE Winter Conference on Computer Vision (WACV), Mar 2018, Oral

    • Two-Phase Learning for Weakly Supervised Object Localization
      Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
      IEEE International Conference on Computer Vision (ICCV), Oct 2017

    International Patent

    • Method and Aparatus for Hierarchical Learning of a Neural Network Based on Weakly Supervised Learning
      PCT/KR2017/013003, Pending. Nov 2017.

    Domestic Publications (Korean)

    • 물체후보 분할과 제안을 위한 딥러닝
      Dahun Kim, Tae-Hyun Oh, In So Kweon
      멀티미디어학회 추계학술발표대회, November 2015