Yu Guo

Computer Vision and Pattern Recognition · with Wang · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Guo trusts

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

  1. Carl Doersch (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Yu Guo's perspective

Ordered by how strongly the researchers Yu Guo 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Image-to-Image Translation with Conditional Adversarial Networks
  5. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers