Yue Fei

Computer Vision and Pattern Recognition · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it

Whom Yue Fei trusts

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

1. Chih-Jen Lin (in Computer Vision and Pattern Recognition)

Papers from Yue Fei's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Understanding the difficulty of training deep feedforward neural networks
6. Fully convolutional networks for semantic segmentation
7. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
8. Improving neural networks by preventing co-adaptation of feature detectors
9. Visualizing and Understanding Convolutional Networks
10. Deep Learning

Their papers

• Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network (2017) — 900 citations