Xiaoyun Yang

Computer Vision and Pattern Recognition · with Meng · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoyun Yang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Sergey Ioffe
  4. Geoffrey E. Hinton

Papers from Xiaoyun Yang's perspective

Ordered by how strongly the researchers Xiaoyun Yang 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. ImageNet classification with deep convolutional neural networks
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers