Guido C. A. Zuidhof

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it

Whom Guido C. A. Zuidhof trusts overall

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

1. Kaiming He
2. Mayank Bansal
3. Alex Krizhevsky

Papers from Guido C. A. Zuidhof's perspective

Ordered by how strongly the researchers Guido C. A. Zuidhof 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. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Understanding the difficulty of training deep feedforward neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
7. Improving neural networks by preventing co-adaptation of feature detectors
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Their papers

• One Thousand and One Hours: Self-driving Motion Prediction Dataset (2020) — 483 citations
• Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge (2016) — 1,345 citations