Marco Maggioni

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Maggioni trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Karen Simonyan
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Ross B. Girshick
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. Pierre L'Ecuyer

Who trusts Marco Maggioni overall

  1. Tri Dao
  2. Mahmoud Khairy

Papers from Marco Maggioni's perspective

Ordered by how strongly the researchers Marco Maggioni 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Rethinking the Inception Architecture for Computer Vision
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers