Zhaojie Ju

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhaojie Ju trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. X. Zhang (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  9. Yann LeCun (in Computer Vision and Pattern Recognition)
  10. Christian Szegedy (in Computer Vision and Pattern Recognition)

Papers from Zhaojie Ju's perspective

Ordered by how strongly the researchers Zhaojie Ju 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. Gradient-based learning applied to document recognition
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Densely Connected Convolutional Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Going deeper with convolutions
  7. ImageNet: A large-scale hierarchical image database
  8. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers