Ming Yang

Computer Vision and Pattern Recognition · with Zhang · 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 Ming Yang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Ming Yang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet: A large-scale hierarchical image database
  4. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
  7. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  8. Masked Autoencoders Are Scalable Vision Learners (Computer Vision and Pattern Recognition)
  9. BEiT: BERT Pre-Training of Image Transformers
  10. Emerging Properties in Self-Supervised Vision Transformers (IEEE International Conference on Computer Vision)

Their papers