P. Greer

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it

Whom P. Greer trusts overall

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

1. Diederik P. Kingma
2. Tero Karras

Papers from P. Greer's perspective

Ordered by how strongly the researchers P. Greer 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. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Image-to-Image Translation with Conditional Adversarial Networks
7. Improved Training of Wasserstein GANs
8. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Manipulating Medical Image Translation with Manifold Disentanglement (2020) — 8 citations