Davide Moltisanti

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 780 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Davide Moltisanti trusts overall

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

  1. Andrew Zisserman
  2. Kaiming He
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Ross B. Girshick
  8. Sergey Ioffe
  9. Christian Szegedy
  10. Diederik P. Kingma

Who trusts Davide Moltisanti overall

  1. Dima Damen
  2. Antonino Furnari
  3. Humam Alwassel
  4. Giovanni Maria Farinella
  5. Hazel Doughty
  6. Evangelos Kazakos
  7. Sanja Fidler
  8. Tushar Nagarajan
  9. Kristen Grauman
  10. Fabian Caba Heilbron

Papers from Davide Moltisanti's perspective

Ordered by how strongly the researchers Davide Moltisanti 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. 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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers