Xiaoming Xu

Computer Vision and Pattern Recognition · with Li · 2022–2023

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

Subfields

Whom Xiaoming Xu trusts

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

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

Papers from Xiaoming Xu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Microsoft COCO: Common Objects in Context
  3. Going deeper with convolutions
  4. Densely Connected Convolutional Networks
  5. Rethinking the Inception Architecture for Computer Vision
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Rectified Linear Units Improve Restricted Boltzmann Machines
  8. Feature Pyramid Networks for Object Detection
  9. mixup: Beyond Empirical Risk Minimization
  10. Identity Mappings in Deep Residual Networks

Their papers