Haoyang Fang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haoyang Fang trusts overall

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

  1. L. Eon Bottou
  2. Kaiming He
  3. Karen Simonyan
  4. Sergey Ioffe
  5. Geoffrey E. Hinton
  6. Christian Szegedy
  7. Andrew Zisserman
  8. Ross B. Girshick
  9. Alex Krizhevsky
  10. Philipp Krahenbuhl

Papers from Haoyang Fang's perspective

Ordered by how strongly the researchers Haoyang Fang 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers