Paul-Edouard Sarlin

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 4 papers; trusts 532 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Paul-Edouard Sarlin trusts overall

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

  1. David G. Lowe
  2. Johannes L. Schönberger
  3. Diederik P. Kingma
  4. Relja Arandjelovi'c
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Torsten Sattler
  8. Alex Krizhevsky
  9. Kaiming He
  10. Daniel DeTone

Who trusts Paul-Edouard Sarlin overall

  1. Philipp Lindenberger
  2. Vincent Leroy
  3. Zachary Teed
  4. Hongkai Chen
  5. Yohann Cabon
  6. Haofei Xu
  7. Xingyu Jiang
  8. Jiaming Sun
  9. Wei Jiang
  10. Fu Li

Papers from Paul-Edouard Sarlin's perspective

Ordered by how strongly the researchers Paul-Edouard Sarlin 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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers