Francesco Nex

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 252 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Nex trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Jimmy Ba
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Rob Fergus
  10. Karen Simonyan

Papers from Francesco Nex's perspective

Ordered by how strongly the researchers Francesco Nex 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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