Lucas Prado Osco

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 155 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lucas Prado Osco 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. Karen Simonyan
  6. Yoshua Bengio
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Andrew Zisserman

Papers from Lucas Prado Osco's perspective

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

Their papers