De Xu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom De Xu trusts overall

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

1. Kaiming He

Papers from De Xu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
6. Gradient-based learning applied to document recognition
7. Indoor Segmentation and Support Inference from RGBD Images
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks (2020) — 640 citations
• Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks (2018) — 426 citations