Jie Chen

Computer Vision and Pattern Recognition · with Liu · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 1,093 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Chen trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. David G. Lowe
  6. Andrew Zisserman
  7. Karen Simonyan
  8. Yann LeCun
  9. Yoshua Bengio
  10. Christian Szegedy

Who trusts Jie Chen overall

  1. Zitong Yu
  2. Weixuan 'Vincent' Chen
  3. Xuesong Niu
  4. Wenjin Wang
  5. Radim Spetlik

Papers from Jie Chen's perspective

Ordered by how strongly the researchers Jie Chen 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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