• 링크드 인 - 블랙 서클

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I am a Master candidate in Robotics and Computer Vision Lab at Korea Advanced Institute of Science and Technology (KAIST) under the supervision of Prof. In So Kweon since 2019. I received B.S in automotive engineering from Hanyang University (HYU).

My major interests currently lay in domain adaptive recognition in computer vision, which handles data hungry problem in deep learning. 

Abstract Man on Beach

Inkyu Shin

Computer vision Researcher
E-mail

dlsrbgg33@kaist.ac.kr

Lab homepage

http://rcv.kaist.ac.kr/

Address
291, Daehak-ro, Yuseong-gu, Daejeon, Republic of Korea

Research Interest
 

Computer Vision, Deep Learning

  • Image Translation

  • Domain Adaptive Recognition (Image, Video)

Publication
 

Two-phase Pseudo Label Densification for Self-training based Domain Adaptation

Inkyu Shin, Sanghyun Woo, Fei pan, In So Kweon

European Conference on Computer Vision (ECCV), 2020.

Paper

  • Also Presented at "Visual Learning with Limited Labels" Workshops in conjunction with CVPR 2020

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision

Fei pan, Inkyu Shin, Francois Rameau, Seokju Lee, In So Kweon

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

(Oral)

Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation 

Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo 

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

(Oral)

 
Internship
  • Research Internship in DAVIAN Lab, Korea university 

 - Topic: Image to Image Translation

  • Computer vision research

  • 2018/09 ~ 2018/12

  • Undergraduate Researcher in ACE Lab

  • Autonomous Driving

 - Topic: Generating lanelet

  • 2018/11 ~ 2018/12

  • Internship in Samsung Electronics

  • 2017/12 ~ 2018/02

 
Awards
  • Autonomous modeled car contest

  • Honorable awards / Mathworks special awards

  • 2018/06

 

Code

Contact

Inkyu Shin

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