Ignacio Arganda-Carreras

Computer Vision and Pattern Recognition · 2006–2017

A researcher in the Science corpus: 8 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ignacio Arganda-Carreras trusts overall

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

  1. David G. Lowe
  2. Carlos Oscar Sánchez Sorzano
  3. Albert Cardona
  4. Yann LeCun
  5. Viren Jain
  6. Stephan Preibisch
  7. Johannes E. Schindelin
  8. Stephan Saalfeld
  9. John C. Fiala
  10. Srinivas C. Turaga

Who trusts Ignacio Arganda-Carreras overall

  1. Johannes E. Schindelin
  2. Curtis T. Rueden
  3. Hongyang Cheng
  4. W. Sambaer
  5. Grant Haskins
  6. András P. Keszei
  7. Daniel E. Worrall
  8. Nabil Ibtehaz
  9. Yoshinori Aso
  10. Alexandr A Kalinin

Papers from Ignacio Arganda-Carreras's perspective

Ordered by how strongly the researchers Ignacio Arganda-Carreras trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers