Rao Fu

Computer Vision and Pattern Recognition · with Fang · 2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rao Fu trusts overall

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

  1. Ali Hatamizadeh
  2. Fabian Isensee
  3. Ilya Loshchilov
  4. Alex Nichol
  5. Julia Wolleb
  6. Jonathan Ho
  7. Geoffrey E. Hinton
  8. Kaiming He
  9. Jieneng Chen
  10. Diederik P. Kingma

Papers from Rao Fu's perspective

Ordered by how strongly the researchers Rao Fu 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers