Philipp Vollmuth

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 8 citations into it

Whom Philipp Vollmuth trusts overall

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

1. Kaiming He

Papers from Philipp Vollmuth's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Densely Connected Convolutional Networks
3. ImageNet classification with deep convolutional neural networks
4. Focal Loss for Dense Object Detection
5. I and J
6. Gradient-based learning applied to document recognition
7. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• nnU-Net for Brain Tumor Segmentation (2020) — 440 citations