Dong Zhang

Computer Vision and Pattern Recognition · with Shah · 2013–2020

A researcher in the Science corpus: 6 papers; trusts 904 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Zhang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Dong Zhang overall

  1. Wenguan Wang
  2. Jianbing Shen
  3. Alon Faktor
  4. Anestis Papazoglou
  5. Zhou Zhao
  6. Youngjae Yu
  7. Pavel Tokmakov
  8. Fatih Murat Porikli
  9. Jingchun Cheng
  10. Shanmugavadivel Karthikeyan

Papers from Dong Zhang's perspective

Ordered by how strongly the researchers Dong 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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