Jingjing Chen

Computer Vision and Pattern Recognition · ACM Multimedia · 2016–2023

A researcher in the Science corpus: 5 papers; trusts 814 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jingjing Chen trusts overall

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

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

Who trusts Jingjing Chen overall

  1. Amaia Salvador
  2. Luis Villaseñor Pineda
  3. Michal Drozdzal
  4. Jianfeng Dong
  5. Adriana Romero

Papers from Jingjing Chen's perspective

Ordered by how strongly the researchers Jingjing Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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