Jakob Geipel
Remote Sensing · 2014
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Jakob Geipel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jakob Geipel overall
Papers from Jakob Geipel's perspective
Ordered by how strongly the researchers Jakob Geipel trusts endorse each paper. Same corpus, a different order for every researcher.
- Modeling the World from Internet Photo Collections (International Journal of Computer Vision)
- Novel algorithms for remote estimation of vegetation fraction
- Estimating near future regional corn yields by integrating multi-source observations into a crop growth model
- The interpretation of trends from multiple yield maps
- Distinctive Image Features from Scale-Invariant Keypoints
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- GENERATIVE ADVERSARIAL NETS
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)