Jianqiang Huang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 6 papers; trusts 574 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianqiang Huang trusts overall

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

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

Who trusts Jianqiang Huang overall

  1. Wu Zheng

Papers from Jianqiang Huang's perspective

Ordered by how strongly the researchers Jianqiang Huang 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. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers