Heinrich Schulz

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Heinrich Schulz trusts overall

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

1. R. Caruana
2. David Lopez-Paz
3. Gao Huang
4. Pranav Rajpurkar
5. Marc'Aurelio Ranzato
6. Jeremy Irvin
7. Xiaosong Wang

Papers from Heinrich Schulz's perspective

Ordered by how strongly the researchers Heinrich Schulz 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Multitask Learning
9. ImageNet Large Scale Visual Recognition Challenge
10. Densely Connected Convolutional Networks

Their papers

• Continual Learning for Domain Adaptation in Chest X-ray Classification (2020) — 72 citations