Y. Zuo

Computer Vision and Pattern Recognition · with Huang · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Zuo trusts overall

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

  1. Kaiming He
  2. Evan Shelhamer

Papers from Y. Zuo's perspective

Ordered by how strongly the researchers Y. Zuo 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. Fully convolutional networks for semantic segmentation
  3. ImageNet classification with deep convolutional neural networks
  4. Densely Connected Convolutional Networks
  5. Gradient-based learning applied to document recognition
  6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers