Patrick C. Teo

Computer Vision and Pattern Recognition · 1998

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Patrick C. Teo trusts overall

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

1. William T. Freeman
2. Edward H. Adelson
3. Pietro Perona

Who trusts Patrick C. Teo overall

1. Kai Krajsek
2. Rudolf Mester
3. Daniel E. Worrall

Papers from Patrick C. Teo's perspective

Ordered by how strongly the researchers Patrick C. Teo trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Design and Use of Steerable Filters
2. ImageNet: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Distinctive Image Features from Scale-Invariant Keypoints
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A common framework for steerability, motion estimation, and invariant feature detection (1998)
• Lie generators for computing steerable functions (1998)
• Theory and applications of steerable functions (1998)