João Paulo Papa

Computer Vision and Pattern Recognition · 2009–2022

A researcher in the Science corpus: 8 papers; trusts 759 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom João Paulo Papa trusts overall

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

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

Who trusts João Paulo Papa overall

  1. M. Narasimha Murty
  2. Chuanxing Geng
  3. Danilo R. Pereira
  4. Ting Liu
  5. Rodrigo Nakamura
  6. Anirban Biswas
  7. Sheng-Jun Huang
  8. M. A. Piteri
  9. Miaomiao Zhang
  10. Luís A. M. Pereira

Papers from João Paulo Papa's perspective

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

Their papers