Dong Huang

Computer Vision and Pattern Recognition · with Bhagavatula · 2020

A researcher in the Science corpus: 1 paper; trusts 125 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Huang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Shaoqing Ren
  5. Alex Krizhevsky
  6. Andrew G. Howard
  7. Jia Deng
  8. Peng Tang
  9. Andrew Zisserman
  10. Yoshua Bengio

Papers from Dong Huang's perspective

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

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

Their papers