Xavier Martin

Computer Vision and Pattern Recognition · with Schmid · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 734 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Martin trusts overall

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

  1. Karen Simonyan
  2. Ross B. Girshick
  3. Cordelia Schmid
  4. Ivan Laptev
  5. Kaiming He
  6. Andrew Zisserman
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Shaoqing Ren
  10. David G. Lowe

Who trusts Xavier Martin overall

  1. Dian Shao
  2. Georgios Pavlakos
  3. Guilhem Chéron
  4. Zerong Zheng
  5. Sergey I. Nikolenko
  6. Gyeongsik Moon
  7. Thiemo Alldieck
  8. Chunhui Gu

Papers from Xavier Martin's perspective

Ordered by how strongly the researchers Xavier Martin 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