Xiaoyi Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoyi Wang trusts overall

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

  1. Ross B. Girshick
  2. Joseph Redmon
  3. Kaiming He
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton

Papers from Xiaoyi Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Microsoft COCO: Common Objects in Context
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers