Zhe Jia

Computer Vision and Pattern Recognition · with Maggioni · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhe Jia trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Karen Simonyan
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Pierre L'Ecuyer
  10. X. Zhang

Who trusts Zhe Jia overall

  1. Tri Dao
  2. Charlie Blake
  3. Tailin Liang
  4. Mahmoud Khairy
  5. Andrei Ivanov
  6. Esha Choukse
  7. Kundan Kumar
  8. Douglas Orr
  9. Kapil Vaswani
  10. C. John Glossner

Papers from Zhe Jia's perspective

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

Their papers