Wei Wei

Computer Vision and Pattern Recognition · with Meng · 2018

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Wei trusts overall

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

  1. Xueyang Fu
  2. He Zhang
  3. Diederik P. Kingma
  4. Sergey Ioffe
  5. Christian Szegedy
  6. Alex Krizhevsky
  7. Kaiming He
  8. Geoffrey E. Hinton
  9. Yi-Lei Chen
  10. Gerald Schaefer

Who trusts Wei Wei overall

  1. Chong Mou
  2. Hong Wang
  3. Kui Jiang
  4. Qian Wang
  5. Qi Xie

Papers from Wei Wei's perspective

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

Their papers