Rémi Cadène

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 5 papers; trusts 522 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Rémi Cadène trusts overall

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

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

Who trusts Rémi Cadène overall

  1. Chao Zhang
  2. Yulei Niu
  3. Drew A. Hudson
  4. Zujie Liang
  5. Peng Gao
  6. Zichao Yang
  7. Hanwang Zhang
  8. Linjie Li
  9. Damien Teney
  10. Kaihua Tang

Papers from Rémi Cadène's perspective

Ordered by how strongly the researchers Rémi Cadène 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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