Jing Han

Computer Vision and Pattern Recognition · with Qian · 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 Jing Han 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 Jing Han's perspective

Ordered by how strongly the researchers Jing Han 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. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
  10. End-to-End Learning of Geometry and Context for Deep Stereo Regression

Their papers