Xuan Luo

Computer Vision and Pattern Recognition · with Kemelmacher-Shlizerman · 2021

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 Xuan Luo trusts overall

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

  1. Diederik P. Kingma
  2. Michael Niemeyer
  3. Tero Karras
  4. Geoffrey E. Hinton
  5. Jimmy Ba
  6. Alex Krizhevsky
  7. Kaiming He
  8. Andreas Geiger
  9. Yoshua Bengio
  10. Lars M. Mescheder

Papers from Xuan Luo's perspective

Ordered by how strongly the researchers Xuan Luo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. GENERATIVE ADVERSARIAL NETS
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers