Haoshu Fang

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 9 papers; trusts 817 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Haoshu Fang trusts overall

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

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

Who trusts Haoshu Fang overall

  1. Jiefeng Li
  2. Ekin Dogus Cubuk
  3. Ce Zheng
  4. Jianwei Yang
  5. Bo Wu
  6. Ze Liu
  7. Liang Zheng
  8. Xiaohan Nie
  9. Sven Kreiss
  10. Hangjie Yuan

Papers from Haoshu Fang's perspective

Ordered by how strongly the researchers Haoshu 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. 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. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers