Raphael Ortiz

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Raphael Ortiz trusts overall

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

  1. David G. Lowe
  2. Krystian Mikolajczyk
  3. Christopher Evans
  4. Cordelia Schmid
  5. David Nistér
  6. Yan Ke
  7. Svetlana Lazebnik
  8. E.J. Candes
  9. Stefan Leutenegger
  10. James Philbin

Who trusts Raphael Ortiz overall

  1. Li Liu
  2. Kwang Moo Yi
  3. Hiroharu Kato
  4. Zhiliang Ma
  5. É. Marchand
  6. Mohammad Norouzi
  7. Mark Billinghurst
  8. Chris Linegar
  9. Jiayi Ma
  10. Kevin Qinghong Lin

Papers from Raphael Ortiz's perspective

Ordered by how strongly the researchers Raphael Ortiz 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. ImageNet: A large-scale hierarchical image database
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers