Jiaming Liu

Computer Vision and Pattern Recognition · with Ding · 2018

A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaming Liu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Andrew Zisserman
  8. Yann LeCun
  9. Lukás Neumann
  10. Shaoqing Ren

Papers from Jiaming Liu's perspective

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

Their papers