Pierrick Coupé

Computer Vision and Pattern Recognition · 2008–2015

A researcher in the Science corpus: 8 papers; trusts 33 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Pierrick Coupé trusts overall

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

  1. A. Buades
  2. Stephen M. Smith
  3. John G. Sled
  4. Rolf A. Heckemann
  5. Michael Elad
  6. Bartomeu Coll
  7. Charles Kervrann
  8. Alex P. Zijdenbos
  9. Torsten Rohlfing
  10. Alexei A. Efros

Who trusts Pierrick Coupé overall

  1. José Vicente Manjón
  2. J. Mohan
  3. Simon Fristed Eskildsen
  4. Juan Eugenio Iglesias
  5. François Rousseau
  6. Antonios Makropoulos
  7. Christian Wachinger
  8. Xinyuan Zhang
  9. Robert Dahnke
  10. Matteo Maggioni

Papers from Pierrick Coupé's perspective

Ordered by how strongly the researchers Pierrick Coupé 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers