Peter S. Li

Computer Vision and Pattern Recognition · with Guibas · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #13,882 of 21,575 by trust here, #15,162 by citations

Whom Peter S. Li trusts overall

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

1. Alec Radford

Who trusts Peter S. Li overall

1. Arvid Lundervold

Papers from Peter S. Li's perspective

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

1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
3. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks
4. Ridge-based vessel segmentation in color images of the retina (IEEE Transactions on Medical Imaging)
5. End-to-End Adversarial Retinal Image Synthesis
6. ImageNet classification with deep convolutional neural networks
7. Computer-aided diagnosis in medical imaging: Historical review, current status and future potential (Comput. Medical Imaging Graph.)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Gradient-based learning applied to document recognition

Their papers

• Synthetic Medical Images from Dual Generative Adversarial Networks (2017) — 186 citations