Kun Zhang

Computer Vision and Pattern Recognition · with Hinz · 2022

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 Kun Zhang trusts overall

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

  1. Jonathan Ho

Papers from Kun Zhang's perspective

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

  1. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  2. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  3. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  4. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
  5. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
  6. Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
  7. Classifier-Free Diffusion Guidance
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers