Yang Yang

Computer Vision and Pattern Recognition · European Conference on Computer Vision · 2014–2020

A researcher in the Science corpus: 6 papers; trusts 584 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Yang trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Andrew Zisserman
  10. Xiaogang Wang

Who trusts Yang Yang overall

  1. Guan'an Wang
  2. Mang Ye
  3. Tao A. Xiang
  4. Shengcai Liao
  5. Rahul Rama Varior
  6. Li Zhang
  7. Ejaz Ahmed
  8. Yulin Li
  9. Nikolaos Karianakis
  10. Liang Zheng

Papers from Yang Yang's perspective

Ordered by how strongly the researchers Yang Yang 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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