Filipe Baptista Neves dos Santos

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Filipe Baptista Neves dos Santos trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Sergey Ioffe
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Shaoqing Ren
  10. Andrew Zisserman

Papers from Filipe Baptista Neves dos Santos's perspective

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

Their papers