Haofeng Huang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 185 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haofeng Huang trusts overall

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

  1. Kaiming He
  2. Zhou Wang
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Xueyang Fu
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Ross B. Girshick

Papers from Haofeng Huang's perspective

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

Their papers