Dongming Zhang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Dongming Zhang trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Nicolas Papernot
  7. Karen Simonyan
  8. Jia Deng
  9. Yann LeCun
  10. Ian J. Goodfellow

Who trusts Dongming Zhang overall

  1. Nicholas Carlini
  2. Chao-Kai Wen

Papers from Dongming Zhang's perspective

Ordered by how strongly the researchers Dongming 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. 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. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers