Peiyun Hu

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 539 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Peiyun Hu trusts overall

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

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

Who trusts Peiyun Hu overall

  1. Yongqiang Zhang
  2. Federico Pernici
  3. Yancheng Bai
  4. Bharat Singh
  5. Shan Li
  6. Ming Ding
  7. Dushyant Mehta
  8. Rajeev Ranjan
  9. Mahyar Najibi
  10. Xu Tang

Papers from Peiyun Hu's perspective

Ordered by how strongly the researchers Peiyun Hu 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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