Leonardo Ravaglia

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Leonardo Ravaglia trusts overall

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

  1. Vincenzo Lomonaco
  2. Lorenzo Pellegrini
  3. Song Han
  4. Liangzhen Lai
  5. Yu-hsin Chen
  6. Han Cai
  7. Alex Krizhevsky
  8. M. Le Gallo
  9. Davide Maltoni
  10. Davis W. Blalock

Papers from Leonardo Ravaglia's perspective

Ordered by how strongly the researchers Leonardo Ravaglia 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers