Jérôme Boulanger

Computer Vision and Pattern Recognition · 2005–2010

A researcher in the Science corpus: 4 papers; trusts 99 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Jérôme Boulanger trusts overall

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

  1. David L. Donoho
  2. A. Buades
  3. Antonio Criminisi
  4. Erwan Le Pennec
  5. Bartomeu Coll
  6. Michael Elad
  7. Alexei A. Efros
  8. Charles Kervrann
  9. Stéphane Mallat
  10. Antonin Chambolle

Who trusts Jérôme Boulanger overall

  1. Peyman Milanfar
  2. Priyam Chatterjee
  3. Joseph Salmon
  4. Charles Kervrann
  5. Vladimir Katkovnik
  6. Kostadin Dabov
  7. Alessandro Foi
  8. Stanislav Pyatykh
  9. Zachary T. Harmany
  10. Lei Zhang

Papers from Jérôme Boulanger's perspective

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

Their papers