Kang Wu

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 Kang Wu trusts

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

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

Papers from Kang Wu's perspective

Ordered by how strongly the researchers Kang Wu 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. Masked Autoencoders Are Scalable Vision Learners (Computer Vision and Pattern Recognition)
  8. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  9. BEiT: BERT Pre-Training of Image Transformers
  10. Emerging Properties in Self-Supervised Vision Transformers (IEEE International Conference on Computer Vision)

Their papers