É. Wirbel

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom É. Wirbel trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Felipe Codevilla
  5. Alexey Dosovitskiy
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Ross B. Girshick
  10. Joseph Redmon

Who trusts É. Wirbel overall

  1. Thibault Buhet

Papers from É. Wirbel's perspective

Ordered by how strongly the researchers É. Wirbel 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers