Cheng-Yang Fu

Computer Vision and Pattern Recognition · 2015–2022

A researcher in the Science corpus: 4 papers; trusts 569 researchers and is trusted by 2,795 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng-Yang Fu trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Yann LeCun
  9. Christian Szegedy
  10. Diederik P. Kingma

Who trusts Cheng-Yang Fu overall

  1. Shu Liu
  2. Nikita Dvornik
  3. Shifeng Zhang
  4. Songtao Liu
  5. Wei David Liu
  6. Liang-Chieh Chen
  7. Zhaohui Zheng
  8. Tao Kong
  9. Xiaosong Zhang
  10. Yanwei Pang

Papers from Cheng-Yang Fu's perspective

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

Their papers