Yaping Huang

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 514 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yaping Huang trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Yann LeCun
  10. Piotr Doll'ar

Who trusts Yaping Huang overall

  1. Xueyan Zou

Papers from Yaping Huang's perspective

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

Their papers