Paul F. Jager

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it

Whom Paul F. Jager trusts overall

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

1. Olaf Ronneberger
2. Liang-Chieh Chen
3. Kaiming He

Who trusts Paul F. Jager overall

1. Yundong Zhang
2. Yutong Xie

Papers from Paul F. Jager's perspective

Ordered by how strongly the researchers Paul F. Jager 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. ImageNet classification with deep convolutional neural networks
3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Metrics Reloaded: Recommendations for image analysis validation (2022) — 479 citations
• Automated Design of Deep Learning Methods for Biomedical Image Segmentation (2019) — 325 citations