Daniel Matte Freitas

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Matte Freitas trusts overall

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

  1. Aiko M. Hormann
  2. Alex Krizhevsky
  3. Yoav Freund
  4. Navneet Dalal
  5. Yann LeCun
  6. Corinna Cortes
  7. Andy Liaw
  8. Geoffrey E. Hinton
  9. Itamar Arel
  10. Ilya Sutskever

Who trusts Daniel Matte Freitas overall

  1. Muhammad Hammad Saleem
  2. Abhinav Sharma

Papers from Daniel Matte Freitas's perspective

Ordered by how strongly the researchers Daniel Matte Freitas 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. Histograms of oriented gradients for human detection
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers