Fei Wang

Media Technology · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Wang trusts

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

  1. Allan Aasbjerg Nielsen (in Media Technology)
  2. Zhenwei Shi (in Media Technology)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Fei Wang's perspective

Ordered by how strongly the researchers Fei Wang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. A change detection model based on neighborhood correlation image analysis and decision tree classification
  8. Fully Convolutional Siamese Networks for Change Detection (International Conference on Information Photonics)
  9. Change detection from remotely sensed images: From pixel-based to object-based approaches
  10. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks (IEEE Transactions on Neural Networks and Learning Systems)

Their papers