Yunze Liu

Computer Vision and Pattern Recognition · 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 Yunze Liu trusts overall

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

  1. Qian-Yi Zhou
  2. João Carreira
  3. Andrew Zisserman
  4. Sungjoon Choi
  5. Christopher Bongsoo Choy
  6. Shichen Liu
  7. Angel X. Chang
  8. Geoffrey E. Hinton
  9. Shreyas Hampali
  10. Kaiming He

Who trusts Yunze Liu overall

  1. Haoyu Zhen

Papers from Yunze Liu's perspective

Ordered by how strongly the researchers Yunze 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. Attention is All you Need (Neural Information Processing Systems)
  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