Yiming Liu

Computer Vision and Pattern Recognition · with Cho · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yiming Liu trusts overall

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

  1. Neel Joshi
  2. Joseph Hilbe
  3. A. Bovik
  4. Rob Fergus
  5. Anat Levin
  6. Xiang Zhu
  7. Zhou Wang
  8. Anish Mittal
  9. Michele A. Saad
  10. Hamid R. Sheikh

Who trusts Yiming Liu overall

  1. Chao Ma
  2. Wei-Sheng Lai
  3. Chih-Yuan Yang

Papers from Yiming Liu's perspective

Ordered by how strongly the researchers Yiming 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. 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. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers