Ying Ding

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Ding trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Ying Ding's perspective

Ordered by how strongly the researchers Ying Ding 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. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  3. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  4. Data-Efficient Image Recognition with Contrastive Predictive Coding
  5. Residual Attention Network for Image Classification
  6. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
  7. ImageNet classification with deep convolutional neural networks
  8. ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases
  9. A transfer learning method with deep residual network for pediatric pneumonia diagnosis (Comput. Methods Programs Biomed.)
  10. Radiomics: Images Are More than Pictures, They Are Data (Radiology)

Their papers