Diego Gragnaniello

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 190 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Diego Gragnaniello trusts overall

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

  1. Tero Karras
  2. François Chollet
  3. Davide Cozzolino
  4. Individualized Treat
  5. Geoffrey E. Hinton
  6. Christian Szegedy
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Kaiming He
  10. Karen Simonyan

Who trusts Diego Gragnaniello overall

  1. Luisa Verdoliva
  2. Michael Albright
  3. Francesco Marra
  4. Ning Yu
  5. Joel Cameron Frank
  6. Nils Hulzebosch
  7. Xu Zhang
  8. Irene Solaiman
  9. Scott McCloskey
  10. Sheng-Yu Wang

Papers from Diego Gragnaniello's perspective

Ordered by how strongly the researchers Diego Gragnaniello 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. Going deeper with convolutions
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers