Shaowei Liu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shaowei Liu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Yann LeCun
  7. Gabriella Csurka
  8. Samarth Brahmbhatt
  9. E. Todorov
  10. Michael I. Jordan

Papers from Shaowei Liu's perspective

Ordered by how strongly the researchers Shaowei 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers