Nicola Strisciuglio

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nicola Strisciuglio trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ruslan Salakhutdinov
  4. Ana Maria Mendonça
  5. Elisa Ricci
  6. Joes Staal
  7. Adams Wai-Kin Kong
  8. Gang Luo
  9. Bashir Al-Diri
  10. Quoc V. Le

Who trusts Nicola Strisciuglio overall

  1. Paweł Liskowski
  2. José Ignacio Orlando

Papers from Nicola Strisciuglio's perspective

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

Their papers