Jiaheng Liu

Computer Vision and Pattern Recognition · with Jin · 2019

A researcher in the Science corpus: 2 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaheng Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Yoshua Bengio
  5. Yann LeCun
  6. Ross B. Girshick
  7. Karen Simonyan
  8. Diederik P. Kingma
  9. Andrew Zisserman
  10. Ilya Sutskever

Papers from Jiaheng Liu's perspective

Ordered by how strongly the researchers Jiaheng 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Going deeper with convolutions
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers