Nattapol Chanpaisit

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 Nattapol Chanpaisit trusts

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

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

Papers from Nattapol Chanpaisit's perspective

Ordered by how strongly the researchers Nattapol Chanpaisit 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. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  7. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
  8. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  9. Learning Deep Features for Scene Recognition using Places Database
  10. Conditional Generative Adversarial Nets

Their papers