Xiaojun Wei

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

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Xiaojun Wei trusts overall

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

1. Kaiming He

Papers from Xiaojun Wei's perspective

Ordered by how strongly the researchers Xiaojun Wei 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. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
3. Mask R-CNN
4. Fast R-CNN
5. Feature Pyramid Networks for Object Detection
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN (2022) — 329 citations