Qin Jin

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 Qin Jin trusts

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

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

Papers from Qin Jin's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Microsoft COCO: Common Objects in Context
  3. Improved Techniques for Training GANs
  4. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  5. AUTO-ENCODING VARIATIONAL BAYES
  6. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
  7. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  8. Learning Deep Features for Scene Recognition using Places Database
  9. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  10. Progressive Growing of GANs for Improved Quality, Stability, and Variation

Their papers