Rasmus Nyholm Jørgensen

Computer Vision and Pattern Recognition · 2007–2016

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Rasmus Nyholm Jørgensen trusts overall

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

1. Rasmus Bro
2. Age K. Smilde
3. Anatoly A. Gitelson

Who trusts Rasmus Nyholm Jørgensen overall

1. Jean-Baptiste F'eret

Papers from Rasmus Nyholm Jørgensen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet Large Scale Visual Recognition Challenge
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Fully convolutional networks for semantic segmentation
7. Caffe: Convolutional Architecture for Fast Feature Embedding
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. You Only Look Once: Unified, Real-Time Object Detection
10. ImageNet: A large-scale hierarchical image database

Their papers

• Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture (2016) — 61 citations
• Estimation of leaf area index in cereal crops using red-green images. (2009) — 71 citations
• Spectral reflectance at sub‐leaf scale including the spatial distribution discriminating NPK stress characteristics in barley using multiway partial least squares regression (2007) — 50 citations