Xu Liang

Computer Vision and Pattern Recognition · with Chang · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xu Liang trusts overall

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

  1. Kaiming He

Papers from Xu Liang's perspective

Ordered by how strongly the researchers Xu Liang 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. ImageNet Large Scale Visual Recognition Challenge
  3. GENERATIVE ADVERSARIAL NETS
  4. ImageNet classification with deep convolutional neural networks
  5. Histograms of oriented gradients for human detection
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers