Yimin Chen

Computer Vision and Pattern Recognition · with Zhang · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 786 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yimin Chen trusts overall

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

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

Who trusts Yimin Chen overall

  1. Gerard Pons-Moll

Papers from Yimin Chen's perspective

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

Their papers