Victoria Fernández Abrevaya

Computer Vision and Pattern Recognition · with Boyer · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Victoria Fernández Abrevaya trusts overall

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

  1. Matthew D. Zeiler
  2. Elad Richardson
  3. Kaiming He
  4. Matan Sela
  5. Lieven De Lathauwer
  6. Darren P. Cosker
  7. Anh Tuan Tran
  8. Daniel Vlasic
  9. Geoffrey E. Hinton
  10. X. Zhang

Who trusts Victoria Fernández Abrevaya overall

  1. Anurag Ranjan
  2. Timo Bolkart

Papers from Victoria Fernández Abrevaya's perspective

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

Their papers