Fabrice Michel

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #6,933 of 21,575 by trust here, #9,187 by citations
• Representation & Self-Supervised Learning — 7 citations into it

Whom Fabrice Michel trusts overall

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

1. Paul A. Viola
2. Sam T. Roweis
3. Geoffrey E. Hinton
4. Josef Sivic
5. David G. Lowe
6. Andrew Zisserman
7. Antonio Torralba
8. Yoav Freund
9. Lawrence K. Saul
10. Alex Krizhevsky

Who trusts Fabrice Michel overall

1. Guiguang Ding
2. Mingsheng Long
3. Jile Zhou
4. Li Liu
5. Cheng Deng
6. Erkun Yang
7. Qing-Yuan Jiang
8. Wu-Jun Li
9. Dongqing Zhang
10. Yuming Shen

Papers from Fabrice Michel's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Data fusion through cross-modality metric learning using similarity-sensitive hashing (2010) — 482 citations