Oscar G. Grasa

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Oscar G. Grasa trusts overall

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

  1. David G. Lowe
  2. Andrew J. Davison
  3. José M. M. Montiel
  4. Herbert Bay
  5. David Nistér
  6. Eric Royer
  7. Javier Civera

Who trusts Oscar G. Grasa overall

  1. Mingyang Li
  2. Tong Qin
  3. Carlos Campos

Papers from Oscar G. Grasa's perspective

Ordered by how strongly the researchers Oscar G. Grasa 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. Object recognition from local scale-invariant features
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers