Xu Jia

Computer Vision and Pattern Recognition · with Green · 2021

A researcher in the Science corpus: 1 paper; trusts 196 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xu Jia trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Andrew Zisserman
  6. Andrea Vedaldi
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ross B. Girshick
  10. Christian Szegedy

Who trusts Xu Jia overall

  1. Sagar Vaze
  2. Kai Han
  3. K. J. Joseph

Papers from Xu Jia's perspective

Ordered by how strongly the researchers Xu Jia 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers