Zhuiyang Zhang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhuiyang Zhang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ian J. Goodfellow (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Rob Fergus (in Computer Vision and Pattern Recognition)
  8. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Zhuiyang Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. GENERATIVE ADVERSARIAL NETS
  5. Layer Normalization
  6. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  9. Deep Learning
  10. Image quality assessment: from error visibility to structural similarity

Their papers