Yuanfei Huang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 133 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanfei Huang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Laurent Itti
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ross B. Girshick
  10. Jiwon Kim

Papers from Yuanfei Huang's perspective

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

Their papers