Runwei Ding

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Runwei Ding trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Shaoqing Ren
  4. Joseph Redmon
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Tsung-Yi Lin
  8. Yann LeCun
  9. X. Zhang
  10. Yoshua Bengio

Papers from Runwei Ding's perspective

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

Their papers