Nicolò Cesa-Bianchi

Computer Vision and Pattern Recognition · with Cuzzolin · 2014

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolò Cesa-Bianchi trusts overall

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

  1. Navneet Dalal
  2. Konrad Schindler
  3. Li Liu
  4. Robert Krauthgamer
  5. Piotr Doll'ar
  6. Christian Schüldt
  7. Rizwan Ahmed Chaudhry
  8. Jonathan Alon
  9. Bill Triggs
  10. Jiang Wang

Papers from Nicolò Cesa-Bianchi's perspective

Ordered by how strongly the researchers Nicolò Cesa-Bianchi 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. Histograms of oriented gradients for human detection
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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