Yinmin Zhang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yinmin Zhang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Xiaozhi Chen
  6. Andreas Geiger
  7. Jia Deng
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Yinmin Zhang overall

  1. Rui Qian

Papers from Yinmin Zhang's perspective

Ordered by how strongly the researchers Yinmin Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  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