Nadia Payet

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 159 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #21,567 of 21,575 by trust here, #19,766 by citations

Whom Nadia Payet trusts overall

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

1. Yong Jae Lee
2. Li Fei-Fei
3. Kristen Grauman
4. Eran Borenstein
5. Jamie Shotton
6. Rob Fergus
7. David G. Lowe
8. Gunhee Kim
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Nadia Payet overall

1. Carl Doersch
2. Abhinav Kumar Gupta
3. Andrej Karpathy

Papers from Nadia Payet's perspective

Ordered by how strongly the researchers Nadia Payet 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• From a Set of Shapes to Object Discovery (2010) — 38 citations