Haoqiang Fan

Computer Vision and Pattern Recognition · 2013–2023

A researcher in the Science corpus: 9 papers; trusts 779 researchers and is trusted by 1,035 researchers here, as inferred from the citation graph.

Subfields

Whom Haoqiang Fan trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. David G. Lowe
  5. Karen Simonyan
  6. Yann LeCun
  7. Ross B. Girshick
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Dimitri P. Bertsekas

Who trusts Haoqiang Fan overall

  1. Julian Chibane
  2. Yan Zhang
  3. Maxim Tatarchenko
  4. Michael Niemeyer
  5. Jitendra Malik
  6. Minghua Liu
  7. Stephan R. Richter
  8. Andreas Geiger
  9. Kyle Genova
  10. Zhiqin Chen

Papers from Haoqiang Fan's perspective

Ordered by how strongly the researchers Haoqiang Fan 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. 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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers