Paulo Rodrigo Cavalin

Computer Vision and Pattern Recognition · 2006–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paulo Rodrigo Cavalin trusts overall

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

  1. Lawrence R. Rabiner
  2. Alex Krizhevsky
  3. Fabio Alexandre Spanhol

Papers from Paulo Rodrigo Cavalin's perspective

Ordered by how strongly the researchers Paulo Rodrigo Cavalin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  5. Gradient-based learning applied to document recognition
  6. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Representation Learning: A Review and New Perspectives
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers