Jia Yao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Yao trusts overall

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

  1. Joseph Redmon
  2. Kaiming He
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Geoffrey E. Hinton
  6. Ali Farhadi
  7. Ilya Sutskever
  8. Ilya Loshchilov
  9. Tsung-Yi Lin
  10. X. Zhang

Papers from Jia Yao's perspective

Ordered by how strongly the researchers Jia Yao 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: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers