Feiyue Huang

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 15 papers; trusts 1,234 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Feiyue Huang trusts overall

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

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

Who trusts Feiyue Huang overall

  1. Yuval Alaluf

Papers from Feiyue Huang's perspective

Ordered by how strongly the researchers Feiyue 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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