Mei Chen

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mei Chen trusts

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

  1. X. Zhang (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Mei Chen's perspective

Ordered by how strongly the researchers Mei 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. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  4. Squeeze-and-Excitation Networks
  5. HyperNetworks
  6. What is the best multi-stage architecture for object recognition?
  7. mixup: Beyond Empirical Risk Minimization
  8. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  9. MobileNetV2: Inverted Residuals and Linear Bottlenecks
  10. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Their papers