Nicola Pezzotti

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Nicola Pezzotti trusts overall

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

  1. L. V. D. van der Maaten
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Marius Muja
  5. David G. Lowe
  6. Vin de Silva
  7. Josh Tenenbaum
  8. Sam T. Roweis
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Nicola Pezzotti overall

  1. Anna C. Belkina
  2. Thomas Höllt
  3. David Chan
  4. Chris Ciccolella
  5. Miroslav Kratochvı́l
  6. Dmitry Kobak
  7. Alexander Mordvintsev
  8. Boudewijn P. F. Lelieveldt
  9. R. Anno
  10. Elmar Eisemann

Papers from Nicola Pezzotti's perspective

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

Their papers