Francesca Baldini

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesca Baldini trusts overall

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

  1. Yu Fan Chen
  2. Pete Trautman
  3. Jur van den Berg
  4. Stefano Pellegrini
  5. Roger L. Hughes
  6. K. Dion
  7. Michael Everett
  8. Sebastian Thrun
  9. I. Dynnikov
  10. Dirk Helbing

Papers from Francesca Baldini's perspective

Ordered by how strongly the researchers Francesca Baldini 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers