Xing Ji

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xing Ji trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Yi Sun
  6. Sumit Chopra

Papers from Xing Ji's perspective

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

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

Their papers