Michele Nappi

Computer Vision and Pattern Recognition · 2007–2021

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michele Nappi trusts overall

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

  1. Peter N. Belhumeur
  2. Karen Simonyan
  3. Volker Blanz
  4. Hua Yu
  5. Yongsheng Gao
  6. Oriol Vinyals
  7. Athinodoros S. Georghiades
  8. A. Bronstein
  9. Geoffrey E. Hinton
  10. Balázs Kégl

Who trusts Michele Nappi overall

  1. Rabia Jafri
  2. J. Unar

Papers from Michele Nappi's perspective

Ordered by how strongly the researchers Michele Nappi 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Microsoft COCO: Common Objects in Context
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers