Dominique Gruyer

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 6 papers; trusts 104 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Dominique Gruyer trusts overall

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

  1. Ross B. Girshick
  2. Joseph Redmon
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Steven M. LaValle
  7. Franz Aurenhammer
  8. Ali Farhadi
  9. Matthias Althoff
  10. David G. Lowe

Who trusts Dominique Gruyer overall

  1. Ekim Yurtsever
  2. Jacob Lambert
  3. Jun Zhang
  4. Alexander Carballo

Papers from Dominique Gruyer's perspective

Ordered by how strongly the researchers Dominique Gruyer 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers