My research interests are in artificial intelligence at the intersection of computer vision and computer graphics. I am 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
Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction
[pdf]
Daeyun Shin, Charless Fowlkes, Derek Hoiem
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
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
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Python library for vision research Code
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Multi-view 3D shape graph cut implementation (Campbell et al.) Code
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Off-screen depth and silhouette rendering using OSMesa. Python C
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Extracting informative graphics from packaging designs code/demo
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Modern OpenGL renderer C++ GLSL shader
- Computational photography implementations
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Modern image annotation toolkit code
- MATLAB utils
- Other stuff on Github: link