Daniele Panozzo

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 5 papers; trusts 127 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Daniele Panozzo trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Yann LeCun
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Rob Fergus
  9. Oriol Vinyals
  10. Max Welling

Who trusts Daniele Panozzo overall

  1. M. Ovsjanikov

Papers from Daniele Panozzo's perspective

Ordered by how strongly the researchers Daniele Panozzo 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers