Thierry Chateau

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 156 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Thierry Chateau trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Pedro F. Felzenszwalb
  6. Christian Szegedy
  7. Karen Simonyan
  8. Yu Xiang

Who trusts Thierry Chateau overall

  1. Xiaogang Wang
  2. Wanli Ouyang

Papers from Thierry Chateau's perspective

Ordered by how strongly the researchers Thierry Chateau 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. Going deeper with convolutions
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers