Yongjin Liu

Computer Vision and Pattern Recognition · with Bao · 2021

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongjin Liu trusts overall

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

  1. Justus Thies
  2. Joon Son Chung
  3. Diederik P. Kingma
  4. Andrew Zisserman

Papers from Yongjin Liu's perspective

Ordered by how strongly the researchers Yongjin Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers