Yibing Liu

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yibing Liu trusts overall

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

  1. Kaiming He
  2. Aishwarya Agrawal
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Yoshua Bengio

Papers from Yibing Liu's perspective

Ordered by how strongly the researchers Yibing 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Microsoft COCO: Common Objects in Context
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers