Xavier Paolo Burgos-Artizzu

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Paolo Burgos-Artizzu trusts overall

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

  1. Jerome H. Friedman
  2. Piotr Doll'ar
  3. Peter N. Belhumeur
  4. Xudong Cao
  5. Mustafa Özuysal
  6. Matthias Dantone
  7. Andrew Zisserman
  8. Ralph Gross
  9. Vuong Le
  10. Ross B. Girshick

Who trusts Xavier Paolo Burgos-Artizzu overall

  1. Rajeev Ranjan
  2. Zhanpeng Zhang
  3. Shaoqing Ren
  4. Ping Luo
  5. Xinyao Wang
  6. Chen Change Loy
  7. Ke Sun
  8. Yuval Nirkin
  9. Tomas Jakab
  10. Shizhan Zhu

Papers from Xavier Paolo Burgos-Artizzu's perspective

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

Their papers