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.
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
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]
- Multi-view 3D volume learning and reconstruction.
- Learning novel objects.
- Multi-task learning.
- Geometry and scene understanding.
Projects, Code, tools
Python library for vision research Code
Multi-view 3D shape graph cut implementation (Campbell et al.) Code
Extracting informative graphics from packaging designs code/demo
Image annotation toolkit code
- MATLAB utils
- Other stuff on Github: link