Vincent Rabaud

Computer Vision and Pattern Recognition · 2005–2013

A researcher in the Science corpus: 4 papers; trusts 149 researchers and is trusted by 2,050 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent Rabaud trusts overall

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

  1. Paul A. Viola
  2. David G. Lowe
  3. Jianbo Shi
  4. Krystian Mikolajczyk
  5. Eric R. Ziegel
  6. Rob Fergus
  7. Iroon Polytechniou
  8. Andrew Zisserman
  9. Cordelia Schmid
  10. Carlo Tomasi

Who trusts Vincent Rabaud overall

  1. Daniel Oñoro-Rubio
  2. Michael S. Ryoo
  3. Antoni B. Chan
  4. Mubarak Shah
  5. Yu Kong
  6. Luc Van Gool
  7. Limin Wang
  8. Hossein Rahmani
  9. Juan Carlos Niebles
  10. Ivan Laptev

Papers from Vincent Rabaud's perspective

Ordered by how strongly the researchers Vincent Rabaud 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. ImageNet: A large-scale hierarchical image database
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers