Sijia Yu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 242 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sijia Yu trusts overall

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

  1. Karen Simonyan
  2. Ross B. Girshick
  3. Kaiming He
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Piotr Doll'ar
  7. Andrew Zisserman
  8. Tsung-Yi Lin
  9. Yann LeCun
  10. Evan Shelhamer

Who trusts Sijia Yu overall

  1. Martin Danelljan

Papers from Sijia Yu's perspective

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

Their papers