Vincent Garcia

Computer Vision and Pattern Recognition · with Barlaud · 2008

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent Garcia trusts overall

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

  1. Krystian Mikolajczyk
  2. Cordelia Schmid
  3. David G. Lowe

Who trusts Vincent Garcia overall

  1. Stas Goferman
  2. Ricardo J. Barrientos
  3. Lihi Zelnik-Manor
  4. José Ignacio Gómez
  5. Jia Pan

Papers from Vincent Garcia's perspective

Ordered by how strongly the researchers Vincent Garcia trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers