Sabine Lang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 179 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Generative Models — 15 citations into it
• Computer Graphics and Computer-Aided Design — 8 citations into it
• Artificial Intelligence — 5 citations into it

Whom Sabine Lang trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Leon A. Gatys
5. Alex Krizhevsky
6. Andrea Vedaldi
7. Kaiming He
8. Andrew Zisserman
9. Yoshua Bengio
10. Dmitry Ulyanov

Papers from Sabine Lang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet Large Scale Visual Recognition Challenge
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Long Short-Term Memory

Their papers

• A Style-Aware Content Loss for Real-time HD Style Transfer (2018) — 230 citations