Marco La Cascia

Computer Vision and Pattern Recognition · 2000–2016

A researcher in the Science corpus: 3 papers; trusts 584 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Marco La Cascia trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Lu Xia
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Navneet Dalal
  7. Zicheng Liu
  8. Omar Oreifej
  9. Yoshua Bengio
  10. David G. Lowe

Who trusts Marco La Cascia overall

  1. Tadas Baltrusaitis
  2. Peter Robinson
  3. Jun Liu
  4. Erik Murphy-Chutorian
  5. Rana El Kaliouby
  6. Louis-philippe Morency
  7. Mohan Manubhai Trivedi
  8. Zehua Sun
  9. Liliana Lo Presti
  10. Bingyi Zhang

Papers from Marco La Cascia's perspective

Ordered by how strongly the researchers Marco La Cascia 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. 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