Johnathan Charles Flowers

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 Johnathan Charles Flowers trusts

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

  1. Li Deng (in Computer Vision and Pattern Recognition)

Papers from Johnathan Charles Flowers's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  5. Image-to-Image Translation with Conditional Adversarial Networks
  6. Deep Learning
  7. Zero-Shot Text-to-Image Generation
  8. Generative Adversarial Networks
  9. Conditional Generative Adversarial Nets
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers