Jun Huang

Computer Vision and Pattern Recognition · IEEE/CAA Journal of Automatica Sinica · 2016–2022

A researcher in the Science corpus: 3 papers; trusts 90 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Huang trusts overall

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

  1. Jiayi Ma
  2. Hui Li
  3. Yu Liu
  4. Han Xu
  5. Linfeng Tang
  6. Hao Zhang
  7. Xiaojun Wu
  8. Ross B. Girshick
  9. Kaiming He
  10. Geoffrey E. Hinton

Who trusts Jun Huang overall

  1. Jiayi Ma
  2. Hui Li
  3. Han Xu
  4. Zixiang Zhao
  5. Xingchen Zhang
  6. Linfeng Tang
  7. Xiaojun Wu

Papers from Jun Huang's perspective

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

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

Their papers