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
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]
Geometric Pose Affordance: 3D Human Pose with Scene Constraints
Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless Fowlkes
In arXiv:1905.07718, 2019 [pdf]
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.
- Adaptive computation