Chaofeng Wang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 233 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chaofeng Wang trusts overall

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

  1. Chao Dong
  2. Kaiming He
  3. Jiwon Kim
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Chen Change Loy
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Ross B. Girshick
  10. Yoshua Bengio

Papers from Chaofeng Wang's perspective

Ordered by how strongly the researchers Chaofeng Wang 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. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers