Felipe Codevilla

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 195 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

Whom Felipe Codevilla trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Alexey Dosovitskiy
  5. Kaiming He
  6. Yann LeCun
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. L. Eon Bottou
  10. Karen Simonyan

Who trusts Felipe Codevilla overall

  1. Pranav Singh Chib
  2. Peng Wu
  3. Sergey Levine
  4. Kashyap Chitta
  5. Dian Chen
  6. Li Chen
  7. Sampo Kuutti
  8. Andreas Geiger
  9. Jiageng Mao
  10. Nicholas Rhinehart

Papers from Felipe Codevilla's perspective

Ordered by how strongly the researchers Felipe Codevilla 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. Learning Multiple Layers of Features from Tiny Images

Their papers