Alexander Johannes

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it

Whom Alexander Johannes trusts overall

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

1. Erich-Christian Oerke

Who trusts Alexander Johannes overall

1. Muhammad Hammad Saleem
2. Ümit Atila
3. Alvaro Fuentes
4. Johan Potgieter

Papers from Alexander Johannes's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Fully convolutional networks for semantic segmentation
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Their papers

• Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild (2019) — 486 citations
• Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case (2017) — 360 citations