Jiapei Feng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Jiapei Feng trusts

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

1. Thomas Brox (in Computer Vision and Pattern Recognition)
2. Philipp Fischer (in Computer Vision and Pattern Recognition)

Papers from Jiapei Feng's perspective

Ordered by how strongly the researchers Jiapei Feng 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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
4. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
5. PyTorch: An Imperative Style, High-Performance Deep Learning Library
6. Learning Deep Features for Discriminative Localization
7. Is object localization for free? - Weakly-supervised learning with convolutional neural networks
8. Dermatologist-level classification of skin cancer with deep neural networks
9. Gradient-based learning applied to document recognition
10. A brief introduction to weakly supervised learning

Their papers

• A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT (2020) — 534 citations
• Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label (2020) — 614 citations