Chen Ju

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Ju trusts overall

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

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

Who trusts Chen Ju overall

  1. Zeyu Han
  2. Junting Pan
  3. Bolin Ni

Papers from Chen Ju's perspective

Ordered by how strongly the researchers Chen Ju 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers