Johannes R. Sveinsson

Computer Vision and Pattern Recognition · 2002–2017

A researcher in the Science corpus: 6 papers; trusts 23 researchers and is trusted by 64 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #6,329 of 21,575 by trust here, #7,027 by citations
• Media Technology — 19 citations into it; #167 of 3,621 by trust here, #146 by citations
• Artificial Intelligence — 10 citations into it; #7,432 of 35,345 by trust here, #7,945 by citations
• Analytical Chemistry — 7 citations into it; #106 of 1,254 by trust here, #193 by citations
• Atmospheric Science — 6 citations into it; #157 of 4,804 by trust here, #427 by citations
• Statistical Learning Theory — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Johannes R. Sveinsson trusts overall

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

1. Martino Pesaresi
2. Jon Atli Benediktsson
3. Lucien Wald
4. Leo Breiman
5. Zhou Wang
6. Luciano Alparone
7. Shutao Li
8. Emanuel Parzen
9. Yoav Freund
10. David A. Landgrebe

Who trusts Johannes R. Sveinsson overall

1. Jon Atli Benediktsson
2. Jun Yu Li
3. Xin Huang
4. Pedram Ghamisi
5. M. Dalla Mura
6. Shutao Li
7. Liangpei Zhang
8. Jocelyn Chanussot
9. Leyuan Fang
10. Yuliya Tarabalka

Papers from Johannes R. Sveinsson's perspective

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

1. Going deeper with convolutions
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. A New Pan-Sharpening Method Using a Compressed Sensing Technique (IEEE Transactions on Geoscience and Remote Sensing)
5. A universal image quality index (IEEE Signal Processing Letters)
6. Image quality assessment: from error visibility to structural similarity
7. Speech recognition with deep recurrent neural networks
8. I and J
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Bagging Predictors

Their papers

• Random Forests for land cover classification (2006) — 2,031 citations
• Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network (2017) — 317 citations
• A New Pansharpening Algorithm Based on Total Variation (2014) — 361 citations
• Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles (2008) — 1,156 citations
• Classification of hyperspectral data from urban areas based on extended morphological profiles (2005) — 1,373 citations
• Multiple classifiers applied to multisource remote sensing data (2002) — 307 citations