Lorenzo Seidenari

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 156 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Lorenzo Seidenari trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Xiaodong Yang
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Yoshua Bengio
  9. Shaoqing Ren
  10. Karen Simonyan

Who trusts Lorenzo Seidenari overall

  1. Raviteja Vemulapalli
  2. Xiaodong Yang
  3. Guillermo Garcia-Hernando
  4. Liliana Lo Presti
  5. Adnan Al Alwani
  6. Jacopo Cavazza
  7. Amor Ben Tanfous
  8. Piotr Koniusz
  9. Diogo Carbonera Luvizon
  10. Chun-yu Wang

Papers from Lorenzo Seidenari's perspective

Ordered by how strongly the researchers Lorenzo Seidenari 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. 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