Qing Shuai

Computer Vision and Pattern Recognition · 2020–2025

A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Shuai trusts overall

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

  1. Diederik P. Kingma
  2. Thiemo Alldieck
  3. Jimmy Ba
  4. Johannes L. Schönberger
  5. Hanbyul Joo
  6. Geoffrey E. Hinton

Papers from Qing Shuai's perspective

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

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

Their papers