Rodrigo Berriel

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rodrigo Berriel trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. X. Zhang
  6. Shaoqing Ren
  7. Jia Deng
  8. Yann LeCun
  9. Yoshua Bengio
  10. Christian Szegedy

Who trusts Rodrigo Berriel overall

  1. Tu Zheng

Papers from Rodrigo Berriel's perspective

Ordered by how strongly the researchers Rodrigo Berriel 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers