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
Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction
Daeyun Shin, Zhile Ren, Erik Sudderth, Charless Fowlkes
In arXiv:1902.06729, 2019
[pdf]
Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction
Daeyun Shin, Charless Fowlkes, Derek Hoiem
In CVPR, 2018
[pdf]
[supplementary material]
[poster]
[code]
[project website]
3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera
Tanmay Gupta, Daeyun Shin, Naren Sivagnanadasan, Derek Hoiem
In arXiv:1606.05002, 2016
[arxiv]
[video results]
Completing 3D Object Shape from One Depth Image
Jason Rock, Tanmay Gupta, Justin Thorsen, Junyoung Gwak, Daeyun Shin, Derek Hoiem
In CVPR, 2015
[pdf]
[project website]
Current topics
- Multi-view 3D volume learning and reconstruction.
- Learning novel objects.
- Multi-task learning.
- Geometry and scene understanding.
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
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Image annotation toolkit code
- MATLAB utils
- Other stuff on Github: link