Xavier Boix

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 8 papers; trusts 705 researchers and is trusted by 336 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Boix trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Pedro F. Felzenszwalb
  5. Andrea Vedaldi
  6. Andrew Zisserman
  7. Karen Simonyan
  8. Kaiming He
  9. Ross B. Girshick
  10. Jianguo Zhang

Who trusts Xavier Boix overall

  1. Bharath Hariharan
  2. Liang-Chieh Chen
  3. Wenguan Wang
  4. David Stutz
  5. George Papandreou
  6. João Carreira
  7. Anurag Arnab
  8. Alan L. Yuille
  9. Radhakrishna Achanta
  10. Jitendra Malik

Papers from Xavier Boix's perspective

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