Guillem Alenyà

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Guillem Alenyà trusts overall

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

  1. David G. Lowe
  2. Daniel Scharstein
  3. A. Bronstein
  4. Jeremy B. Maitin-Shepard
  5. Martín Arjovsky
  6. Andrew Zisserman
  7. Geoffrey E. Hinton

Who trusts Guillem Alenyà overall

  1. Radu Patrice Horaud
  2. Jeannette Bohg

Papers from Guillem Alenyà's perspective

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

Their papers