Loic A. Royer

Computer Vision and Pattern Recognition · 2015–2022

A researcher in the Science corpus: 6 papers; trusts 347 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Loic A. Royer trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Karen Simonyan
  6. Diederik P. Kingma
  7. Kaiming He
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Christian Szegedy

Who trusts Loic A. Royer overall

  1. C. Stringer
  2. Maithra Raghu
  3. Alexander Krull
  4. Samuli Laine
  5. Yuhui Quan
  6. Tao Huang
  7. Jihye Yun
  8. Marius Pachitariu
  9. Erica Schmidt

Papers from Loic A. Royer's perspective

Ordered by how strongly the researchers Loic A. Royer 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers