Xiaolin Wei

Computer Vision and Pattern Recognition · with Li · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 386 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaolin Wei trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Tsung-Yi Lin
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Diederik P. Kingma
  10. Yann LeCun

Papers from Xiaolin Wei's perspective

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

Their papers