Yue Huang

Computer Vision and Pattern Recognition · 2014–2023

A researcher in the Science corpus: 10 papers; trusts 612 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Huang trusts overall

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

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

Who trusts Yue Huang overall

  1. Wenhan Yang
  2. Jiaying Liu
  3. Chongyi Li
  4. Xiaojie Guo
  5. Yuen Peng Loh
  6. Wenjing Wang
  7. Syed Waqas Zamir
  8. Chen Wei
  9. Ruoteng Li
  10. Shijie Hao

Papers from Yue Huang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers