Ze Yang

Computer Vision and Pattern Recognition · with Wang · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 486 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ze Yang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Shaoqing Ren
  4. David G. Lowe
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Jia Deng
  8. Karen Simonyan
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Ze Yang overall

  1. Cheng Chi
  2. Xingyi Zhou
  3. Haoyang Zhang
  4. Jinwang Wang
  5. Fan Zhang
  6. Yue Chen
  7. Wonpyo Park
  8. Xiyang Dai
  9. Jiaming Han
  10. Zhiqing Sun

Papers from Ze Yang's perspective

Ordered by how strongly the researchers Ze Yang 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers