Yuchen Fan

Computer Vision and Pattern Recognition · with Gool · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 251 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuchen Fan trusts overall

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

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

Papers from Yuchen Fan's perspective

Ordered by how strongly the researchers Yuchen Fan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers