Justin G. Chen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #17,134 of 21,575 by trust here, #18,782 by citations

Whom Justin G. Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. William T. Freeman
2. Simon Justin Julier
3. Temujin Gautama
4. Neal Wadhwa

Who trusts Justin G. Chen overall

1. Billie F. Spencer Jr.

Papers from Justin G. Chen's perspective

Ordered by how strongly the researchers Justin G. Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. A phase-based approach to the estimation of the optical flow field using spatial filtering (IEEE Trans. Neural Networks)
2. Phase-based video motion processing
3. The Design and Use of Steerable Filters
4. Unscented filtering and nonlinear estimation
5. Distinctive Image Features from Scale-Invariant Keypoints
6. An Iterative Image Registration Technique with an Application to Stereo Vision
7. ImageNet: A large-scale hierarchical image database
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Microsoft COCO: Common Objects in Context
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters (2017) — 190 citations