Liu Yuan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Liu Yuan trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Navneet Dalal
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Shaoqing Ren
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Yann LeCun
  10. Jeff Donahue

Who trusts Liu Yuan overall

  1. Xue Yang
  2. Jiaming Han
  3. Di Wang
  4. Jamyoung Koo

Papers from Liu Yuan's perspective

Ordered by how strongly the researchers Liu Yuan 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Histograms of oriented gradients for human detection
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers