Emiliano Spera

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emiliano Spera trusts overall

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

  1. Jana Kosecka
  2. Karen Simonyan
  3. Alex Kendall
  4. Elad Hoffer
  5. Andrew Zisserman
  6. Torsten Sattler
  7. Jamie Shotton
  8. Kevin Qinghong Lin
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Papers from Emiliano Spera's perspective

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

Their papers