I am a MS student advised by Professor In So Kweon, at Future Vehicle Engineering, KAIST.
My research interests currently lie in computer vision. Specifically, I pursue the goal to build domain adaptive recognition in computer vision, which handles data hungry problem in deep learning. My research topics include Unsupervised domain adaptation / Self-supervised learning.
dlsrbgg33 [at] kaist.ac.kr
dlsrbgg33 [at] gmail.com
Bldg N1, Rm 211, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141
BS in Future Vehicle Engineering, 2019
HYU, Korea
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
NeurIPS 2020
[ Paper ]
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
ECCV 2020
*Also presented at CVPR 2020 Workshop(VL3)
[ Paper ]
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
CVPR 2020 [Oral]
[ Project page | Paper | Code ]