Yan Liang

Computer Vision and Pattern Recognition · with Pan · 2012

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Liang trusts overall

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

  1. Julien Mairal
  2. Stéphane Mallat
  3. Michael Elad
  4. Xiaogang Wang
  5. Francis R. Bach
  6. Michal Aharon
  7. Xin Li
  8. Geoffrey E. Hinton
  9. Xiangjun Zhang
  10. Abhishek Sharma

Who trusts Yan Liang overall

  1. Chih-Yuan Yang
  2. Mang Ye
  3. Ming-Yu Liu

Papers from Yan Liang's perspective

Ordered by how strongly the researchers Yan Liang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers