Hua Yang

Computer Vision and Pattern Recognition · with Kim · 2018

A researcher in the Science corpus: 1 paper; trusts 198 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hua Yang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Shaoqing Ren
  7. Yoshua Bengio
  8. Pedro F. Felzenszwalb
  9. Yann LeCun
  10. Navneet Dalal

Who trusts Hua Yang overall

  1. Tim Meinhardt
  2. Yongxin Wang
  3. Jiarui Xu
  4. Philipp Bergmann

Papers from Hua Yang's perspective

Ordered by how strongly the researchers Hua Yang 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. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers