Adam Gatt

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #19,298 of 21,575 by trust here, #9,305 by citations
• Artificial Intelligence — 9 citations into it; #31,412 of 35,345 by trust here, #13,544 by citations

Whom Adam Gatt trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Karen Simonyan
4. Kaiming He
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Yoshua Bengio
8. Christian Szegedy
9. Andrew Zisserman
10. Adam Coates

Who trusts Adam Gatt overall

1. Luis Perez
2. Markus Bayer
3. Eleonora Cagli
4. Hossam H. Sultan
5. Hiba Chougrad
6. Alberto Garcia-Garcia
7. Pietro Buzzega
8. Avraham Ruderman
9. Gabriele Merlin
10. Taban Eslami

Papers from Adam Gatt's perspective

Ordered by how strongly the researchers Adam Gatt 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. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Understanding Data Augmentation for Classification: When to Warp? (2016) — 974 citations