Michel Melo Silva

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michel Melo Silva trusts overall

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

  1. Ofir Pele
  2. Yang Cong
  3. Bin Zhao
  4. Joseph Redmon
  5. John Wright
  6. Li Fei-Fei
  7. Ross B. Girshick
  8. Michael Werman
  9. Geoffrey E. Hinton
  10. Junsong Yuan

Papers from Michel Melo Silva's perspective

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

Their papers