Pietro Pala

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Pietro Pala trusts overall

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

  1. Xiaodong Yang
  2. Lu Xia
  3. Zicheng Liu
  4. Wanqing Li
  5. Jiang Wang
  6. Yingli Tian
  7. Jamie Shotton

Who trusts Pietro Pala overall

  1. Liliana Lo Presti
  2. Fei Han
  3. Adnan Al Alwani
  4. Jacopo Cavazza
  5. Raviteja Vemulapalli
  6. Diogo Carbonera Luvizon

Papers from Pietro Pala's perspective

Ordered by how strongly the researchers Pietro Pala 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers