Hang Xu

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2019–2023

A researcher in the Science corpus: 22 papers; trusts 1,692 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hang Xu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Shaoqing Ren
  9. Ilya Sutskever
  10. Quoc V. Le

Who trusts Hang Xu overall

  1. Siyuan Qiao
  2. Bochao Wang
  3. Xin He
  4. Colin White
  5. Jianhua Han
  6. Lizhe Liu
  7. Peiwen Lin
  8. Chenhan Jiang
  9. Liang-Chieh Chen
  10. Wei Zhang

Papers from Hang Xu's perspective

Ordered by how strongly the researchers Hang 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers