Clemens Seibold

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 Clemens Seibold 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. Vahid Kazemi
6. Andrew Zisserman
7. Geoffrey E. Hinton
8. Wojciech Samek
9. Alex Krizhevsky
10. Patrick Pérez

Who trusts Clemens Seibold overall

1. Yassin Kortli
2. Sebastian Lapuschkin
3. Maher Jridi

Papers from Clemens Seibold's perspective

Ordered by how strongly the researchers Clemens Seibold 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. Gradient-based learning applied to document recognition
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
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