Yinglin Zheng

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 150 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yinglin Zheng trusts overall

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

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

Who trusts Yinglin Zheng overall

  1. Kaede Shiohara
  2. Qixun Wang
  3. Toshihiko Yamasaki

Papers from Yinglin Zheng's perspective

Ordered by how strongly the researchers Yinglin Zheng 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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