Chen Chen

Computer Vision and Pattern Recognition · with Bai · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 55 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. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Evan Shelhamer
  5. Yoshua Bengio
  6. Christian Szegedy
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Ilya Sutskever

Who trusts Chen Chen overall

  1. Junde Wu
  2. Xiaohong Huang
  3. Ali Hatamizadeh
  4. Jeya Maria Jose Valanarasu

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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers