Qiang Yue

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Yue trusts overall

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

  1. Franz Aurenhammer
  2. Joseph B. Kruskal
  3. Steven J. Fortune
  4. Karen Simonyan
  5. Chanop Silpa-Anan
  6. Ben Harwood
  7. Olivier Beaumont

Papers from Qiang Yue's perspective

Ordered by how strongly the researchers Qiang Yue trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. GloVe: Global Vectors for Word Representation
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers