José Ignacio Orlando

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom José Ignacio Orlando trusts overall

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

  1. Ross B. Girshick
  2. Michael David Abràmoff
  3. Kaiming He
  4. Yuri Boykov
  5. Philipp Krahenbuhl
  6. Thorsten Joachims
  7. Isabelle M Guyon
  8. John D. Lafferty
  9. Ana Maria Mendonça
  10. Sanjiv Kumar

Who trusts José Ignacio Orlando overall

  1. Zengqiang Yan
  2. Xin Yang
  3. Kwang-Ting Cheng
  4. Quande Liu
  5. Xiaomeng Li

Papers from José Ignacio Orlando's perspective

Ordered by how strongly the researchers José Ignacio Orlando 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers