Dejia Xu

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 285 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dejia Xu trusts overall

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

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

Papers from Dejia Xu's perspective

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

Their papers