Yohann Cabon

Computer Vision and Pattern Recognition · 2016–2024

A researcher in the Science corpus: 5 papers; trusts 811 researchers and is trusted by 132 researchers here, as inferred from the citation graph.

Subfields

Whom Yohann Cabon trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. David G. Lowe
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Piotr Doll'ar
  8. Yann LeCun
  9. Yoshua Bengio
  10. Jianguo Zhang

Who trusts Yohann Cabon overall

  1. Haofei Xu
  2. Vincent Leroy
  3. Riccardo Volpi
  4. Jing Zhang
  5. Abhijit Kundu
  6. Matthias Müller
  7. Jianfei Cai
  8. Andreas Geiger
  9. Hassan Abu Alhaija
  10. Diane Larlus

Papers from Yohann Cabon's perspective

Ordered by how strongly the researchers Yohann Cabon 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. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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