Gloria Bueno García

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gloria Bueno García trusts overall

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

  1. David G. Lowe
  2. Navneet Dalal
  3. Ivan Laptev
  4. David D. Lewis
  5. Filareti Tsalakanidou
  6. P. Jonathon Phillips
  7. Ming-yu Chen

Who trusts Gloria Bueno García overall

  1. Jiwen Lu

Papers from Gloria Bueno García's perspective

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

  1. Histograms of oriented gradients for human detection
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. Visual categorization with bags of keypoints
  4. Gradient-based learning applied to document recognition
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Going deeper with convolutions
  8. On Space-Time Interest Points
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers