S. Bileschi

Computer Vision and Pattern Recognition · 2007–2025

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom S. Bileschi trusts overall

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

  1. Thomas Serre
  2. David G. Lowe
  3. Yann LeCun
  4. Maximilian Riesenhuber
  5. Kunihiko Fukushima
  6. Tomaso A. Poggio
  7. Rob Fergus
  8. Ellen C. Hildreth
  9. Antonio Torralba
  10. Geoffrey E. Hinton

Who trusts S. Bileschi overall

  1. Nikolaus Kriegeskorte
  2. Garrick Orchard
  3. Jake V. Bouvrie
  4. Joel Z. Leibo
  5. Jaume Amores
  6. Thomas Serre
  7. James J. DiCarlo
  8. Tomaso A. Poggio
  9. Zhangzhang Si
  10. Davide Zoccolan

Papers from S. Bileschi's perspective

Ordered by how strongly the researchers S. Bileschi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers