X. Liu

Computer Vision and Pattern Recognition · with Chu · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom X. Liu trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from X. Liu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Densely Connected Convolutional Networks
  4. Aggregated Residual Transformations for Deep Neural Networks
  5. ImageNet classification with deep convolutional neural networks
  6. SGDR: Stochastic Gradient Descent with Warm Restarts
  7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  8. Gradient-based learning applied to document recognition
  9. mixup: Beyond Empirical Risk Minimization
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers