Peixin Shi

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 Peixin Shi trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren

Papers from Peixin Shi's perspective

Ordered by how strongly the researchers Peixin Shi 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
5. Mask R-CNN
6. Fast R-CNN
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

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