Peter R. Seevinck

Computer Vision and Pattern Recognition · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #17,581 of 21,575 by trust here, #11,498 by citations

Whom Peter R. Seevinck trusts overall

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

1. Diederik P. Kingma

Who trusts Peter R. Seevinck overall

1. Sergey I. Nikolenko
2. Arvid Lundervold

Papers from Peter R. Seevinck's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. GENERATIVE ADVERSARIAL NETS
3. Image-to-Image Translation with Conditional Adversarial Networks
4. ImageNet classification with deep convolutional neural networks
5. Perceptual Losses for Real-Time Style Transfer and Super-Resolution
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

Their papers

• Deep MR to CT Synthesis Using Unpaired Data (2017) — 681 citations