Xingrui Yang

Computer Vision and Pattern Recognition · 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 Xingrui Yang trusts overall

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

  1. Richard A. Newcombe
  2. Andrew J. Davison
  3. Jürgen Sturm
  4. Brian Curless
  5. Matthias Nießner
  6. Raul Mur-Artal
  7. Olaf Kähler
  8. Lingjie Liu
  9. Thomas Whelan
  10. Christian Kerl

Papers from Xingrui Yang's perspective

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

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

Their papers