Huizhu Jia

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 164 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huizhu Jia trusts overall

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

  1. Kaiming He
  2. Raanan Fattal
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Shaoqing Ren
  7. Yann LeCun
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Karen Simonyan

Papers from Huizhu Jia's perspective

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

Their papers