Shoou-I Yu

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 252 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Shoou-I Yu trusts overall

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

  1. Kaiming He
  2. Chih-Jen Lin
  3. Jia Deng
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Andrew Zisserman
  8. Shaoqing Ren
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Shoou-I Yu overall

  1. De-An Huang
  2. Ramon Sanabria
  3. Jean-Baptiste Alayrac
  4. Antoine Miech
  5. Xuanyi Dong
  6. Yasufumi Moriya
  7. Lu Jiang
  8. Rowan Zellers
  9. Gunnar A. Sigurdsson
  10. Deyu Meng

Papers from Shoou-I Yu's perspective

Ordered by how strongly the researchers Shoou-I 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers