Qiang Hu

Computer Vision and Pattern Recognition · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Hu trusts overall

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

  1. Kaiming He
  2. Debesh Jha
  3. Nima Tajbakhsh
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Jorge Bernal
  8. Yoshua Bengio
  9. Ashish Vaswani

Who trusts Qiang Hu overall

  1. Hong-Yu Zhou
  2. Bingzhi Chen

Papers from Qiang Hu's perspective

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

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

Their papers