Juan I. Nieto

Computer Vision and Pattern Recognition · 2006–2021

A researcher in the Science corpus: 9 papers; trusts 102 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Juan I. Nieto trusts overall

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

  1. Simon Justin Julier
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Kaiming He
  5. Tim Bailey
  6. Geoffrey E. Hinton
  7. Steven M. LaValle
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Karen Simonyan

Who trusts Juan I. Nieto overall

  1. Lei Tai
  2. Edouard Leurent
  3. Shoudong Huang
  4. Giseop Kim
  5. Davide Dardari

Papers from Juan I. Nieto's perspective

Ordered by how strongly the researchers Juan I. Nieto 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. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers