Rui Huang

Computer Vision and Pattern Recognition · with He · 2017

A researcher in the Science corpus: 1 paper; trusts 122 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Rui Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Vinod Nair
  7. Individualized Treat
  8. Yann LeCun
  9. Zhenyao Zhu
  10. Scott E. Reed

Who trusts Rui Huang overall

  1. Andreas Rössler
  2. Umur Aybars Ciftci
  3. Zachary Bessinger
  4. Minhan Kim
  5. Xiang Wang
  6. Xintao Wang
  7. Chunli Qin
  8. Yujun Shen
  9. Xiaoqiang Yan
  10. Davide Cozzolino

Papers from Rui Huang's perspective

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

Their papers