Dingdong Yang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 425 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Dingdong Yang trusts overall

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

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

Who trusts Dingdong Yang overall

  1. Tianfu Wu
  2. Jaemin Cho
  3. Bo Zhao
  4. Tobias Hinz
  5. Yunjey Choi
  6. Zhengli Zhao
  7. Ning Yu
  8. Siyu Liu
  9. Youngwoo Yoon
  10. Jiadong Liang

Papers from Dingdong Yang's perspective

Ordered by how strongly the researchers Dingdong 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  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