Pierre Moulin

Computer Vision and Pattern Recognition · 2000–2015

A researcher in the Science corpus: 9 papers; trusts 663 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre Moulin trusts overall

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

  1. Ivan Laptev
  2. Claude E. Shannon
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Ross B. Girshick
  7. Navneet Dalal
  8. Yoshua Bengio
  9. Ram Zamir
  10. Yann LeCun

Who trusts Pierre Moulin overall

  1. Ingemar Johansson Cox
  2. Tomáš Filler
  3. Abbas Cheddad
  4. Sotirios P. Chatzis
  5. Matthew L. Miller
  6. Duncan D. Po
  7. Jessica J. Fridrich
  8. Zhou Wang
  9. Valero Laparra
  10. Jan Judas

Papers from Pierre Moulin's perspective

Ordered by how strongly the researchers Pierre Moulin 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers