Liqiang Wang

Computer Vision and Pattern Recognition · with Gong · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 351 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Liqiang Wang trusts overall

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

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

Who trusts Liqiang Wang overall

  1. Guo-Jun Qi
  2. Yonglong Tian
  3. Hankook Lee
  4. Xiao Wang
  5. Xiaotao Wei

Papers from Liqiang Wang's perspective

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

Their papers