Ping Zhang

Computer Vision and Pattern Recognition · with Dai · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ping Zhang trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. E. Arıkan (in Computer Networks and Communications)
  3. David Burth Kurka (in Artificial Intelligence)
  4. Deniz Gündüz (in Artificial Intelligence)

Papers from Ping Zhang's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. Layer Normalization
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. AUTO-ENCODING VARIATIONAL BAYES
  6. Conditional Generative Adversarial Nets
  7. Gaussian Error Linear Units (GELUs)
  8. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
  9. End-to-end Optimized Image Compression (International Conference on Learning Representations)
  10. Multiscale structural similarity for image quality assessment

Their papers