Pengfei Fan

Computer Vision and Pattern Recognition · 2022

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 Pengfei Fan trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. George Barbastathis (in Atomic and Molecular Physics, and Optics)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Yann LeCun (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Pengfei Fan's perspective

Ordered by how strongly the researchers Pengfei Fan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Backpropagation Applied to Handwritten Zip Code Recognition
  3. This PDF file includes: Materials and Methods
  4. Fully convolutional networks for semantic segmentation
  5. A Fast Learning Algorithm for Deep Belief Nets
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Fast R-CNN
  8. Learning representations by back-propagating errors
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Their papers