Li Chen

Computer Vision and Pattern Recognition · European Conference on Computer Vision · 2022–2025

A researcher in the Science corpus: 7 papers; trusts 325 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Li Chen trusts overall

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

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

Who trusts Li Chen overall

  1. Pranav Singh Chib
  2. Daniel Dauner
  3. Pravendra Singh
  4. Chonghao Sima
  5. Kashyap Chitta
  6. Marcel Hallgarten
  7. Andreas Geiger
  8. Jiageng Mao
  9. Katrin Renz
  10. Hao Shao

Papers from Li Chen's perspective

Ordered by how strongly the researchers Li Chen 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  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