Loris Nanni

Computer Vision and Pattern Recognition · 2004–2017

A researcher in the Science corpus: 4 papers; trusts 211 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Loris Nanni trusts overall

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

  1. Tom Fawcett
  2. Kaiming He
  3. Karen Simonyan
  4. Ross B. Girshick
  5. Geoffrey E. Hinton
  6. Andrea Vedaldi
  7. David G. Lowe
  8. Andrew Zisserman
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Loris Nanni overall

  1. Anne Humeau-Heurtier
  2. Li Liu
  3. Ling Zhang
  4. Francesco Bianconi
  5. Le Lu
  6. Julian Fierrez

Papers from Loris Nanni's perspective

Ordered by how strongly the researchers Loris Nanni 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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