Laura Sevilla-Lara

Computer Vision and Pattern Recognition · 2012–2021

A researcher in the Science corpus: 4 papers; trusts 498 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Laura Sevilla-Lara trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Robert T. Collins
  8. Ross B. Girshick
  9. Yann LeCun
  10. Navneet Dalal

Who trusts Laura Sevilla-Lara overall

  1. Martin Danelljan
  2. Fahad Shahbaz Khan
  3. Gustav Häger
  4. Michael Felsberg
  5. Yi Wu
  6. Yang Li
  7. Kaihua Zhang
  8. Ming-Hsuan Yang
  9. Horst Possegger
  10. Ting Liu

Papers from Laura Sevilla-Lara's perspective

Ordered by how strongly the researchers Laura Sevilla-Lara 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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