Nataniel Ruiz

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 450 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Nataniel Ruiz trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Ronald J. Williams
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Nataniel Ruiz overall

  1. Yuval Alaluf
  2. Nupur Kumari
  3. Xin He
  4. Hui-Po Wang
  5. Timothy M. Hospedales
  6. Yi Fang
  7. Fredrik K. Gustafsson
  8. Renwang Chen
  9. Xintao Wang
  10. Tsun-Yi Yang

Papers from Nataniel Ruiz's perspective

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

Their papers