Jing Nie

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 99 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Nie trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Tsung-Yi Lin
  4. Shaoqing Ren
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Jia Deng
  8. Karen Simonyan
  9. Andrew Zisserman
  10. Piotr Doll'ar

Who trusts Jing Nie overall

  1. Yuqi Gong

Papers from Jing Nie's perspective

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

Their papers