Carlos Alberola-López

Computer Vision and Pattern Recognition · 2006–2018

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Carlos Alberola-López trusts overall

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

  1. Ridha Touzi
  2. Zhou Wang
  3. Yongjian Yu
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Kaiming He
  7. Geoffrey E. Hinton
  8. Karen Simonyan
  9. Paul J. Werbos
  10. Aleksandra Pizurica

Who trusts Carlos Alberola-López overall

  1. Gabriele Steidl
  2. Karl Krissian
  3. J. Mohan
  4. Tanja Teuber

Papers from Carlos Alberola-López's perspective

Ordered by how strongly the researchers Carlos Alberola-López trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers