Henri Rebecq

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 8 papers; trusts 288 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Henri Rebecq trusts overall

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

  1. Davide Scaramuzza
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Stefan Leutenegger
  5. Kaiming He
  6. Yann LeCun
  7. Geoffrey E. Hinton
  8. Andrew Zisserman
  9. Li Fei-Fei
  10. Alex Zihao Zhu

Who trusts Henri Rebecq overall

  1. Guillermo Gallego
  2. Davide Scaramuzza
  3. Yuhuang Hu
  4. René Ranftl
  5. Tobi Delbruck
  6. Daniel Gehrig
  7. Tong Qin
  8. Vladlen Koltun
  9. Etienne Perot
  10. Shih-Chii Liu

Papers from Henri Rebecq's perspective

Ordered by how strongly the researchers Henri Rebecq 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers