Weijun Wang

Computer Vision and Pattern Recognition · arXiv.org · 2024–2025

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weijun Wang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Weijun Wang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Microsoft COCO: Common Objects in Context
  3. Rethinking the Inception Architecture for Computer Vision
  4. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  5. mixup: Beyond Empirical Risk Minimization
  6. Feature Pyramid Networks for Object Detection
  7. Focal Loss for Dense Object Detection
  8. ImageNet classification with deep convolutional neural networks
  9. Self-Training With Noisy Student Improves ImageNet Classification
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers