Anna Hilsmann

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Anna Hilsmann trusts overall

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

1. Christian Szegedy
2. Karen Simonyan
3. Davis E. King
4. Ian J. Goodfellow
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Vahid Kazemi

Papers from Anna Hilsmann's perspective

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

1. Going deeper with convolutions
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Intriguing properties of neural networks
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks (2018) — 30 citations