Xavier Soria Poma

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 209 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Soria Poma trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. John F. Canny
  5. Pablo Arbeláez
  6. Jitendra Malik
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. Kaiming He
  10. Ross B. Girshick

Who trusts Xavier Soria Poma overall

  1. Weiyao Wang
  2. Matt Feiszli
  3. Mengyang Pu

Papers from Xavier Soria Poma's perspective

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

Their papers