Yang Fu

Computer Vision and Pattern Recognition · AAAI Conference on Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 395 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Fu trusts overall

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

  1. Liang Zheng
  2. Kaiming He
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Shaoqing Ren
  9. Zhun Zhong
  10. Yoshua Bengio

Who trusts Yang Fu overall

  1. Dongkai Wang
  2. Yixiao Ge
  3. Xin Jin
  4. Zuozhuo Dai
  5. Kaiyang Zhou
  6. Hanqing Chao
  7. Kecheng Zheng
  8. Jiaxu Miao
  9. Shiliang Zhang
  10. Guan'an Wang

Papers from Yang Fu's perspective

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

Their papers