Elisa Sayrol

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 263 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #9,053 of 21,575 by trust here, #9,872 by citations
• Artificial Intelligence — 13 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Model Architectures — 8 citations into it

Whom Elisa Sayrol trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Ilya Sutskever
6. Kaiming He
7. Yann LeCun
8. Ross B. Girshick
9. Antonio Torralba
10. Yoshua Bengio

Who trusts Elisa Sayrol overall

1. Wenguan Wang
2. Marcella Cornia
3. Jianbing Shen
4. Lorenzo Baraldi
5. Yuhong Li
6. Jia Li
7. Cheng Deng
8. Ping Hu

Papers from Elisa Sayrol's perspective

Ordered by how strongly the researchers Elisa Sayrol 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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

• SalGAN: Visual Saliency Prediction with Generative Adversarial Networks (2017) — 432 citations
• Shallow and Deep Convolutional Networks for Saliency Prediction (2016) — 497 citations