Shenhan Qian

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shenhan Qian trusts overall

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

  1. Leo P. Kadanoff
  2. Volker Blanz
  3. Ang Cao
  4. Justus Thies
  5. T. Muller
  6. Wenqi Xian
  7. Chen Gao
  8. Bernhard Kerbl
  9. Georgios Kopanas
  10. Jonathon Luiten

Papers from Shenhan Qian's perspective

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

Their papers