Yue Liao

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 525 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Liao trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Jia Deng
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Tsung-Yi Lin
  7. Karen Simonyan
  8. Shaoqing Ren
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Yue Liao overall

  1. Muchen Li
  2. Masato Tamura
  3. Bumsoo Kim
  4. Ye Du
  5. Peihan Miao
  6. Weicheng Kuo
  7. Jiajun Deng
  8. Cheng Zou
  9. Zhengyuan Yang
  10. Leonid Sigal

Papers from Yue Liao's perspective

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

Their papers