Zhang Zhang

Computer Vision and Pattern Recognition · with Zhang · 2017

A researcher in the Science corpus: 2 papers; trusts 222 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Zhang Zhang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Shengcai Liao
  4. Ilya Sutskever
  5. Kaiming He
  6. Sergey Ioffe
  7. Liang Zheng
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Christian Szegedy

Who trusts Zhang Zhang overall

  1. Yi Yang
  2. Wanli Ouyang
  3. Tao A. Xiang
  4. Liang Zheng

Papers from Zhang Zhang's perspective

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

Their papers