Luca Zappella

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 164 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luca Zappella trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Karen Simonyan
  5. Yann LeCun
  6. Yoshua Bengio
  7. Andrew Zisserman
  8. Song Han
  9. Diederik P. Kingma
  10. Jia Deng

Who trusts Luca Zappella overall

  1. Davis W. Blalock

Papers from Luca Zappella's perspective

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

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

Their papers