Luis Perez

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #3,283 of 21,575 by trust here, #5,464 by citations

Whom Luis Perez trusts overall

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

1. Esben Jannik Bjerrum
2. Yann LeCun
3. Sitao Xiang
4. Harsh Rai
5. Sebastien C. Wong
6. Corinna Cortes
7. Hao Li
8. Marco Marchesi
9. Naman Shukla
10. Adam Gatt

Who trusts Luis Perez overall

1. Ekin Dogus Cubuk
2. Barret Zoph
3. Mengying Shu
4. Hiroshi Inoue
5. Alex Hernandez-Garcia
6. Quoc V. Le
7. Connor Shorten
8. Miaoyun Zhao
9. Xiang Dai
10. Songyu Li

Papers from Luis Perez's perspective

Ordered by how strongly the researchers Luis Perez 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Going deeper with convolutions
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• The Effectiveness of Data Augmentation in Image Classification using Deep Learning (2017) — 3,170 citations