Yingbin Zheng

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yingbin Zheng trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan

Who trusts Yingbin Zheng overall

  1. Xue Yang

Papers from Yingbin Zheng's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers