Fangqiang Ding

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 143 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fangqiang Ding trusts overall

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

  1. Martin Danelljan
  2. Chao Ma
  3. João F. Henriques
  4. Matthias Mueller
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Fahad Shahbaz Khan
  8. Alex Krizhevsky
  9. Morgan Quigley
  10. Ming-Hsuan Yang

Papers from Fangqiang Ding's perspective

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

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

Their papers