Weidong Yin

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 376 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Weidong Yin trusts overall

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

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

Who trusts Weidong Yin overall

  1. Tianfu Wu
  2. Zuopeng Yang
  3. Tobias Hinz
  4. Oron Ashual

Papers from Weidong Yin's perspective

Ordered by how strongly the researchers Weidong Yin 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers