Honggang Zhang

Computer Vision and Pattern Recognition · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2007–2019

A researcher in the Science corpus: 5 papers; trusts 454 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Honggang Zhang trusts overall

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

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

Who trusts Honggang Zhang overall

  1. Mang Ye
  2. Ayan Kumar Bhunia
  3. Meng Yang
  4. Jianbing Shen
  5. Aneeshan Sain
  6. Wenguan Wang

Papers from Honggang Zhang's perspective

Ordered by how strongly the researchers Honggang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers