Wei-Ming Chen

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

A researcher in the Science corpus: 2 papers; trusts 161 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Ming Chen trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Song Han
  6. Jia Deng
  7. Diederik P. Kingma
  8. Ross B. Girshick
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Wei-Ming Chen overall

  1. Ji Lin

Papers from Wei-Ming Chen's perspective

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

Their papers