Francesco Conti

Computer Vision and Pattern Recognition · with Benini · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Conti trusts overall

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

  1. Yann LeCun
  2. L. Eon Bottou
  3. Alex Krizhevsky
  4. Clément Farabet
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Chih-Jen Lin
  9. David G. Lowe
  10. Ross B. Girshick

Who trusts Francesco Conti overall

  1. Daniele Palossi
  2. M. Mohammadi
  3. Antonio Loquercio
  4. Ala Al-Fuqaha

Papers from Francesco Conti's perspective

Ordered by how strongly the researchers Francesco Conti 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers