Yining Jiao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yining Jiao trusts overall

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

  1. Iroon Polytechniou
  2. Ross B. Girshick
  3. Kaiming He
  4. Tsung-Yi Lin
  5. Jia Deng
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton

Papers from Yining Jiao's perspective

Ordered by how strongly the researchers Yining Jiao 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Microsoft COCO: Common Objects in Context
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers