Bowen Liu

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 382 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bowen Liu trusts overall

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

  1. Kaiming He
  2. Deng-Ping Fan
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Andrew Zisserman
  8. Diederik P. Kingma
  9. Ming-Ming Cheng
  10. Yann LeCun

Papers from Bowen Liu's perspective

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

Their papers