Romain Beaumont

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 104 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Romain Beaumont trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ilya Sutskever
  8. Xiaohua Zhai
  9. Ross B. Girshick
  10. Jia Deng

Who trusts Romain Beaumont overall

  1. Mitchell Wortsman
  2. Yuxin Fang
  3. Dhruba Ghosh
  4. Quan-Sen Sun
  5. Jingyi Zhang
  6. Junnan Li
  7. Axel Sauer
  8. Alexander C. Li
  9. Andreas Blattmann
  10. Haotian Liu

Papers from Romain Beaumont's perspective

Ordered by how strongly the researchers Romain Beaumont 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers