Albert Clapés

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Albert Clapés trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Karen Simonyan
  4. Kaiming He
  5. Yoshua Bengio
  6. Andrew Zisserman
  7. Ross B. Girshick
  8. Yann LeCun
  9. Cordelia Schmid
  10. Diederik P. Kingma

Papers from Albert Clapés's perspective

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

Their papers