Guan Huang

Computer Vision and Pattern Recognition · arXiv.org · 2015–2022

A researcher in the Science corpus: 8 papers; trusts 955 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Guan Huang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Tsung-Yi Lin
  6. Shaoqing Ren
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Guan Huang overall

  1. Yingfei Liu
  2. Jiageng Mao
  3. Yinhao Li
  4. Shaoshuai Shi
  5. Yunpeng Zhang
  6. Junjie Huang
  7. Shihao Wang
  8. Tiancai Wang
  9. Yanwei Li
  10. Tingting Liang

Papers from Guan Huang's perspective

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

Their papers