Silvia Biasotti

Computer Vision and Pattern Recognition · 2005–2016

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Silvia Biasotti trusts overall

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

  1. Herbert Edelsbrunner
  2. Bruno Lévy
  3. Steve Zelditch
  4. Michael M. Bronstein
  5. Eugene Zhang
  6. A. Bronstein
  7. Roee Litman
  8. Shen Dong
  9. Lior Shapira
  10. Mathieu Aubry

Who trusts Silvia Biasotti overall

  1. Michael M. Bronstein
  2. Or Litany
  3. Jiayi Ma
  4. A. Bronstein
  5. Thomas Nierhoff
  6. Xingyu Jiang

Papers from Silvia Biasotti's perspective

Ordered by how strongly the researchers Silvia Biasotti 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. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers