Hua Zhang

Computer Vision and Pattern Recognition · European Conference on Computer Vision · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 526 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Hua Zhang trusts overall

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

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

Who trusts Hua Zhang overall

  1. Vishwanath A. Sindagi
  2. Codruta Orniana Ancuti
  3. Wenqi Ren
  4. Zewei He
  5. Vishal M. Patel
  6. Shubhra Aich
  7. Elad Walach
  8. Changqing Zhang
  9. He Zhang
  10. Xialei Liu

Papers from Hua Zhang's perspective

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

Their papers