Andrea Cavallaro

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 11 papers; trusts 1,068 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Andrea Cavallaro trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Radford M. Neal
  10. David G. Lowe

Who trusts Andrea Cavallaro overall

  1. Kaiyang Zhou
  2. Mohammad Malekzadeh
  3. Massimo Minervini
  4. Tadas Baltrusaitis
  5. Shibo Zhang
  6. Pablo V. A. Barros

Papers from Andrea Cavallaro's perspective

Ordered by how strongly the researchers Andrea Cavallaro 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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