Qijing Huang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 122 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qijing Huang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Bichen Wu
  5. Shaoqing Ren
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Jia Deng
  9. X. Zhang
  10. Karen Simonyan

Papers from Qijing Huang's perspective

Ordered by how strongly the researchers Qijing Huang 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. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers