Owen T. Carmichael

Probabilistic & Bayesian Methods · 1999

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 771 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 6 citations into it

Whom Owen T. Carmichael trusts overall

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

1. Yair Weiss
2. Jonathan S. Yedidia
3. William T. Freeman

Who trusts Owen T. Carmichael overall

1. Stefan Roth
2. William T. Freeman
3. Alan L. Yuille
4. Ce Liu
5. Michael J. Black
6. Xiaogang Wang
7. Martin J. Wainwright
8. Jian Sun
9. Sven Behnke
10. Deqing Sun

Papers from Owen T. Carmichael's perspective

Ordered by how strongly the researchers Owen T. Carmichael trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Learning Low-Level Vision (1999)