Liangsheng Wang

Computer Vision and Pattern Recognition · 2023

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 Liangsheng Wang trusts

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

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

Papers from Liangsheng Wang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. GENERATIVE ADVERSARIAL NETS
  3. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  4. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  5. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Generative Modeling by Estimating Gradients of the Data Distribution
  8. Denoising Diffusion Implicit Models
  9. ImageNet classification with deep convolutional neural networks
  10. Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Their papers