Dingquan Li

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dingquan Li trusts overall

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

  1. A. Bovik
  2. Anish Mittal
  3. Diederik P. Kingma
  4. Kaiming He
  5. Anush K. Moorthy
  6. Michele A. Saad
  7. Kalpana Seshadrinathan
  8. Zhou Wang
  9. Zeina Sinno
  10. Jia Deng

Who trusts Dingquan Li overall

  1. Haoning Wu
  2. Zhengzhong Tu
  3. Ziqi Huang
  4. Chaofeng Chen
  5. Yilin Wang

Papers from Dingquan Li's perspective

Ordered by how strongly the researchers Dingquan Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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