Liquang Wang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liquang Wang trusts overall

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

  1. Diederik P. Kingma
  2. Igor Mordatch
  3. Andrew L. Maas
  4. Zijun Zhang
  5. Peter K. Allen
  6. Dimitrios Tzionas
  7. Geoffrey E. Hinton
  8. Jimmy Ba
  9. Andrew T. Miller
  10. Ross B. Girshick

Papers from Liquang Wang's perspective

Ordered by how strongly the researchers Liquang Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Histograms of oriented gradients for human detection

Their papers