Dahua Lin

Computer Vision and Pattern Recognition · with Wang · 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 Dahua Lin trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Dahua Lin's perspective

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

  1. Microsoft COCO: Common Objects in Context
  2. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  3. GENERATIVE ADVERSARIAL NETS
  4. Improved Techniques for Training GANs
  5. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  6. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
  7. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  8. AUTO-ENCODING VARIATIONAL BAYES
  9. The Kinetics Human Action Video Dataset
  10. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)

Their papers