Hefeng Wu

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 176 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hefeng Wu trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Kaiming He
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Ross B. Girshick
  10. Yann LeCun

Papers from Hefeng Wu's perspective

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

Their papers