Henrik Karstoft

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it

Whom Henrik Karstoft trusts overall

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

1. Evan Shelhamer
2. Alex Krizhevsky
3. Karen Simonyan

Who trusts Henrik Karstoft overall

1. A. Hasan
2. Jiang Lu
3. Vijaypal Singh Dhaka

Papers from Henrik Karstoft's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet Large Scale Visual Recognition Challenge
3. Going deeper with convolutions
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Fully convolutional networks for semantic segmentation
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Plant species classification using deep convolutional neural network (2016) — 571 citations
• Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture (2016) — 61 citations