É. Marchand

Computer Vision and Pattern Recognition · IEEE Transactions on Visualization and Computer Graphics · 2005–2016

A researcher in the Science corpus: 4 papers; trusts 103 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom É. Marchand trusts overall

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

  1. François Chaumette
  2. David G. Lowe
  3. Tom Drummond
  4. Andrew J. Davison
  5. Georg S. W. Klein
  6. David Nistér
  7. Ezio Malis
  8. Vincent Lepetit
  9. Selim Benhimane
  10. Peter Filzmoser

Who trusts É. Marchand overall

  1. Guillaume Caron
  2. Carlos Sampedro
  3. Sergey Levine
  4. Pedro Vicente
  5. Alejandro Rodriguez-Ramos
  6. Mary B. Alatise
  7. Shaharyar Ahmed Khan Tareen

Papers from É. Marchand's perspective

Ordered by how strongly the researchers É. Marchand 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers