Yao Yao

Computer Vision and Pattern Recognition · with Zhu · 2024

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 Yao Yao trusts

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

  1. Jian Zhao (in Computer Vision and Pattern Recognition)
  2. Jitendra Malik (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Yao Yao's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. ImageNet classification with deep convolutional neural networks
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. AUTO-ENCODING VARIATIONAL BAYES
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)

Their papers