Xiao-Jun Wu

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao-Jun Wu trusts overall

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

  1. Hui Li
  2. Xiaojun Wu
  3. Wei Tang
  4. Jiayi Ma
  5. Zixiang Zhao
  6. Yu Liu
  7. Luciano Floridi
  8. Han Xu
  9. John Roberts
  10. Fazhi He

Papers from Xiao-Jun Wu's perspective

Ordered by how strongly the researchers Xiao-Jun Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. GENERATIVE ADVERSARIAL NETS

Their papers