Frédéric Comby

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Frédéric Comby trusts overall

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

  1. Jessica J. Fridrich
  2. Jan Kodovský
  3. Sergey Ioffe
  4. Xavier Glorot
  5. Kaiming He
  6. Vojtech Holub
  7. Yoshua Bengio
  8. Christian Szegedy
  9. Min Lin
  10. Guanshuo Xu

Who trusts Frédéric Comby overall

  1. Ru Zhang

Papers from Frédéric Comby's perspective

Ordered by how strongly the researchers Frédéric Comby 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers