Meng Cheng

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 Meng Cheng 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 Meng Cheng's perspective

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

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

Their papers