Oscar Déniz-Suárez

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 Oscar Déniz-Suárez trusts overall

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

  1. David G. Lowe
  2. Navneet Dalal
  3. Filareti Tsalakanidou
  4. P. Jonathon Phillips
  5. Ivan Laptev
  6. David D. Lewis
  7. Bill Triggs
  8. Ming-yu Chen
  9. Simon Baker
  10. Annalisa Barla

Who trusts Oscar Déniz-Suárez overall

  1. Jiwen Lu
  2. Venice Erin Liong

Papers from Oscar Déniz-Suárez's perspective

Ordered by how strongly the researchers Oscar Déniz-Suárez 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. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Visual categorization with bags of keypoints
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers