Tianxing Wu

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianxing Wu trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Tianxing Wu's perspective

Ordered by how strongly the researchers Tianxing Wu 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. Curriculum learning
  6. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
  7. Learning Deep Features for Scene Recognition using Places Database
  8. Progressive Growing of GANs for Improved Quality, Stability, and Variation
  9. Conditional Generative Adversarial Nets
  10. Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Their papers