Qingshan Xu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qingshan Xu trusts overall

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

  1. Johannes L. Schönberger
  2. Lior Yariv
  3. Brian Curless
  4. M. Kazhdan
  5. Yasutaka Furukawa
  6. Lars M. Mescheder
  7. William E. Lorensen
  8. Patrick Labatut
  9. Lingjie Liu
  10. Michael Niemeyer

Papers from Qingshan Xu's perspective

Ordered by how strongly the researchers Qingshan Xu 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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers