Jing Xu

Computer Vision and Pattern Recognition · with Dong · 2020

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Xu trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Geoffrey E. Hinton

Papers from Jing Xu's perspective

Ordered by how strongly the researchers Jing Xu trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers