Pei Fu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #15,897 of 21,575 by trust here, #11,083 by citations

Whom Pei Fu trusts overall

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

1. Ross B. Girshick

Who trusts Pei Fu overall

1. Xue Yang

Papers from Pei Fu's perspective

Ordered by how strongly the researchers Pei Fu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
4. Fast R-CNN
5. ImageNet classification with deep convolutional neural networks
6. SSD: Single Shot MultiBox Detector
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection (2017) — 566 citations