Qingmin Liao

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 5 papers; trusts 474 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qingmin Liao trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Christian Szegedy
  9. Ilya Sutskever
  10. Karen Simonyan

Papers from Qingmin Liao's perspective

Ordered by how strongly the researchers Qingmin 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers