Matteo Ruggero Ronchi

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 558 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Matteo Ruggero Ronchi trusts overall

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

  1. Kaiming He
  2. Christian Szegedy
  3. Ross B. Girshick
  4. Karen Simonyan
  5. Shaoqing Ren
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Andrew Zisserman
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Matteo Ruggero Ronchi overall

  1. Arun Mallya
  2. Humam Alwassel
  3. Sheng Jin
  4. Svetlana Lazebnik
  5. Mark Yatskar
  6. Talmo D. Pereira
  7. Fabian Caba Heilbron
  8. Rohit Girdhar
  9. Lumin Xu
  10. Victor Escorcia

Papers from Matteo Ruggero Ronchi's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers