Etienne Vouga

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Etienne Vouga trusts overall

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

  1. Yaron Lipman
  2. Yan Chen
  3. Alex Krizhevsky
  4. Hao Li
  5. Vladimir G. Kim

Who trusts Etienne Vouga overall

  1. E. Filipov
  2. Ahmad Rafsanjani
  3. Yi Zhu
  4. Emilio Barchiesi

Papers from Etienne Vouga's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers