Yin Zhou

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 7 papers; trusts 774 researchers and is trusted by 800 researchers here, as inferred from the citation graph.

Subfields

Whom Yin Zhou trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Bo Li
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Shaoqing Ren
  9. Xiaozhi Chen
  10. Daniel Maturana

Who trusts Yin Zhou overall

  1. Shaoshuai Shi
  2. Qi Chen
  3. Zetong Yang
  4. Tianwei Yin
  5. Charles Ruizhongtai Qi
  6. Zhijian Liu
  7. Yukang Chen
  8. Tai Wang
  9. Martin Simon
  10. Eduardo Arnold

Papers from Yin Zhou's perspective

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

Their papers