Yonghuai Liu

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yonghuai Liu trusts

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

  1. Martial Hebert (in Computer Vision and Pattern Recognition)
  2. Michael M. Bronstein (in Computer Vision and Pattern Recognition)
  3. Facundo M'emoli (in Computational Mechanics)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Yonghuai Liu's perspective

Ordered by how strongly the researchers Yonghuai Liu 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. Multi-Scale Context Aggregation by Dilated Convolutions
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers