Aharon Azulay

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 412 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #5,676 of 21,575 by trust here, #8,409 by citations
• Artificial Intelligence — 23 citations into it; #8,599 of 35,345 by trust here, #12,083 by citations
• Model Architectures — 13 citations into it
• Safety, Robustness & Interpretability — 11 citations into it; #615 of 2,251 by trust here, #1,063 by citations
• Biophysics — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom Aharon Azulay trusts overall

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

1. David G. Lowe
2. Christian Szegedy
3. Kaiming He
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Antonio Torralba
8. Yoshua Bengio
9. Andrew Zisserman
10. Yann LeCun

Who trusts Aharon Azulay overall

1. Richard Zhang
2. Raphael Gontijo Lopes
3. Dan Hendrycks
4. Ekin Dogus Cubuk
5. Sylvia J. Smullin
6. Keyan Ding
7. Tero Karras
8. Bilal Alsallakh
9. Keren Gu
10. Ali Borji

Papers from Aharon Azulay's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Why do deep convolutional networks generalize so poorly to small image transformations? (2018) — 618 citations