Qingqing Dang

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 5 papers; trusts 484 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Qingqing Dang trusts overall

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

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

Who trusts Qingqing Dang overall

  1. Yanming Guo

Papers from Qingqing Dang's perspective

Ordered by how strongly the researchers Qingqing Dang 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers