Li Zhang

Computer Vision and Pattern Recognition · with Zhu · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Zhang trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Timo Aila (in Computer Vision and Pattern Recognition)
  3. Samuli Laine (in Computer Vision and Pattern Recognition)
  4. Tero Karras (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Li Zhang's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  3. Deep Learning Face Attributes in the Wild
  4. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Progressive Growing of GANs for Improved Quality, Stability, and Variation
  8. Generating Videos with Scene Dynamics
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. A Style-Based Generator Architecture for Generative Adversarial Networks

Their papers