Lei Wang

Computer Vision and Pattern Recognition · with Glossner · 2021

A researcher in the Science corpus: 1 paper; trusts 297 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Wang trusts overall

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

  1. Yoshua Bengio
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Kaiming He
  6. Alex Graves
  7. Karen Simonyan
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Christian Szegedy

Who trusts Lei Wang overall

  1. Elias Frantar
  2. Yang He

Papers from Lei Wang's perspective

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

Their papers