Shoubin Yu

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 379 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shoubin Yu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Shoubin Yu overall

  1. Feng Li
  2. Rowan Zellers
  3. Kunchang Li

Papers from Shoubin Yu's perspective

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

Their papers