Wei-Ning Lee

Computer Vision and Pattern Recognition · 2025

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Ning Lee trusts overall

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

  1. Jun Ma

Papers from Wei-Ning Lee's perspective

Ordered by how strongly the researchers Wei-Ning Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Segment Anything (IEEE International Conference on Computer Vision)
  2. Segment Anything in Medical Images (arXiv.org)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Layer Normalization
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Microsoft COCO: Common Objects in Context
  7. Gaussian Error Linear Units (GELUs)
  8. Masked Autoencoders Are Scalable Vision Learners (Computer Vision and Pattern Recognition)
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers