Wei Chen

Computer Vision and Pattern Recognition · with Bakker · 2021

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Chen trusts overall

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

  1. Wei Li
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yann LeCun
  6. Yoshua Bengio
  7. Xiaogang Wang
  8. Diederik P. Kingma
  9. Liang Zheng
  10. Ross B. Girshick

Who trusts Wei Chen overall

  1. Zhicheng Sun
  2. Da-Wei Zhou

Papers from Wei Chen's perspective

Ordered by how strongly the researchers Wei Chen 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers