Yun Liu

Computer Vision and Pattern Recognition · with Fu · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Liu trusts overall

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

  1. Qian-Yi Zhou
  2. João Carreira
  3. Andrew Zisserman

Papers from Yun Liu's perspective

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

Their papers