Yuqing Ai

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuqing Ai trusts overall

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

  1. Alex Krizhevsky

Papers from Yuqing Ai's perspective

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

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

Their papers