Pengguang Chen

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 424 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Pengguang Chen trusts overall

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

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

Who trusts Pengguang Chen overall

  1. Mang Wang
  2. Hanqiu Deng
  3. Mingle Xu
  4. Borui Zhao
  5. Suorong Yang
  6. Hangjie Yuan
  7. Xingyu Li
  8. Sook Yoon
  9. Quan Cui

Papers from Pengguang Chen's perspective

Ordered by how strongly the researchers Pengguang Chen 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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