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Daeyun Shin


My research interests are in artificial intelligence at the intersection of computer vision and computer graphics. I am currently interested in 3D scene understanding and unsupervised learning. I am advised by Charless Fowlkes.

Education

Since 2017, Ph.D. in Computer Science, University of California, Irvine (advisor: Charless Fowlkes)

2017, M.S. in Computer Science, University of Illinois at Urbana-Champaign (advisor: Derek Hoiem)

2015, B.S. in Computer Science, University of Illinois at Urbana-Champaign

Publications

3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera
Qualitative results
Tanmay Gupta, Daeyun Shin, Naren Sivagnanadasan, Derek Hoiem
arXiv:1606.05002, 2016

Completing 3D Object Shape from One Depth Image
Project page
Jason Rock, Tanmay Gupta, Justin Thorsen, Junyoung Gwak, Daeyun Shin, Derek Hoiem
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015

Current topics

  • Multiple-view 3D volume learning and reconstruction.
  • Learning novel objects.
  • Multi-task learning.

Projects, Code, tools