Antonio Pullini

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 6 papers; trusts 40 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Antonio Pullini trusts overall

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

  1. Yann LeCun
  2. L. Eon Bottou
  3. Clément Farabet
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Abbas Rahimi
  8. Ilya Sutskever
  9. David G. Lowe
  10. Pierre Sermanet

Who trusts Antonio Pullini overall

  1. Daniele Palossi
  2. M. Mohammadi

Papers from Antonio Pullini's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers