Zheng Yang

Computer Vision and Pattern Recognition · with Liu · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 262 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zheng Yang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Sergey Ioffe
  7. Karen Simonyan
  8. Christian Szegedy
  9. Jia Deng
  10. Yann LeCun

Papers from Zheng Yang's perspective

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

Their papers