Yong Shi

Computer Vision and Pattern Recognition · 2 papers · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Shi trusts overall

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

  1. Piotr Doll'ar
  2. John F. Canny
  3. C. Lawrence Zitnick
  4. Radhakrishna Achanta
  5. Joseph J. Lim
  6. Yuhai Wu
  7. Qin Zou
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Yong Shi overall

  1. Chuan-Zhi Dong
  2. Fan Yang
  3. Jingwei Liu
  4. Zhun Fan
  5. Necati Catbas

Papers from Yong Shi's perspective

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