Keiller Nogueira

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 470 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Keiller Nogueira trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Yi Yang
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Andrew Zisserman
  7. Ross B. Girshick
  8. Yoshua Bengio
  9. Andrea Vedaldi
  10. Yann LeCun

Who trusts Keiller Nogueira overall

  1. Patrick Helber
  2. Jamie Sherrah
  3. Chaopeng Shen
  4. Nicolas Audebert
  5. Gong Cheng
  6. Souleyman Chaib
  7. Ying Li
  8. Xiaoxiang Zhu
  9. Benjamin Bischke
  10. Gui-Song Xia

Papers from Keiller Nogueira's perspective

Ordered by how strongly the researchers Keiller Nogueira trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers