Xiaogang Xu

Computer Vision and Pattern Recognition · with Zhao · 2024

A researcher in the Science corpus: 2 papers; trusts 166 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaogang Xu trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. René Ranftl
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Yann LeCun
  9. Ilya Sutskever
  10. Karen Simonyan

Papers from Xiaogang Xu's perspective

Ordered by how strongly the researchers Xiaogang 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers