Heng Fan

Computer Vision and Pattern Recognition · ECCV Workshops · 2018–2023

A researcher in the Science corpus: 10 papers; trusts 1,532 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Heng Fan trusts overall

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

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

Who trusts Heng Fan overall

  1. Martin Danelljan
  2. Zhipeng Zhang
  3. Houwen Peng
  4. Ning Wang
  5. Paul Voigtlaender
  6. Christoph Mayer
  7. Lichao Zhang
  8. Liting Lin
  9. Botao Ye
  10. Dongyan Guo

Papers from Heng Fan's perspective

Ordered by how strongly the researchers Heng 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. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers