Wei-le Li

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-le Li trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Christian Szegedy
  5. Karen Simonyan
  6. Geoffrey E. Hinton
  7. Sergey Ioffe
  8. Shaoqing Ren
  9. Ilya Sutskever
  10. Andrew Zisserman

Papers from Wei-le Li's perspective

Ordered by how strongly the researchers Wei-le Li trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers