Xiangjun Gao

Computer Vision and Pattern Recognition · 2024

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

Subfields

Whom Xiangjun Gao trusts

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

  1. Jonathan Ho (in Computer Vision and Pattern Recognition)

Papers from Xiangjun Gao's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  3. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  4. Image quality assessment: from error visibility to structural similarity
  5. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
  6. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
  7. ShapeNet: An Information-Rich 3D Model Repository
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Denoising Diffusion Implicit Models
  10. Classifier-Free Diffusion Guidance

Their papers