Carlos Hernández

Computer Vision and Pattern Recognition · 2007–2016

A researcher in the Science corpus: 5 papers; trusts 442 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Carlos Hernández trusts overall

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

  1. Vladimir Kolmogorov
  2. Brian Curless
  3. Richard Szeliski
  4. Yasutaka Furukawa
  5. S. M. Seitz
  6. Yuri Boykov
  7. David G. Lowe
  8. Kaiming He
  9. George Vogiatzis
  10. Michael Goesele

Who trusts Carlos Hernández overall

  1. Zachary Teed
  2. Clément Godard
  3. Xiaodong Gu
  4. Minoru Kanehisa
  5. Lior Yariv
  6. Kiyoko Aoki
  7. Yasutaka Furukawa
  8. Arno Knapitsch
  9. Antoni Rosinol
  10. Carlos Hernández Esteban

Papers from Carlos Hernández's perspective

Ordered by how strongly the researchers Carlos Hernández 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers