Nicola Messina

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 287 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicola Messina trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Tsung-Yi Lin

Who trusts Nicola Messina overall

  1. Luca Ciampi

Papers from Nicola Messina's perspective

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

Their papers