Chen Chen

Computer Vision and Pattern Recognition · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Chen trusts overall

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

  1. Kaiming He
  2. Xinchen Liu
  3. Tsung-Yi Lin
  4. Alex Bewley
  5. Jun Yu
  6. Gao Huang
  7. Ross B. Girshick
  8. X. Zhang
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Papers from Chen Chen's perspective

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

Their papers