Samuel Scheidegger

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Samuel Scheidegger trusts overall

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

1. Djork-Arné Clevert
2. Yann LeCun
3. Jonathan Tompson
4. Geoffrey E. Hinton

Who trusts Samuel Scheidegger overall

1. Luca Caltagirone

Papers from Samuel Scheidegger's perspective

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

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

Their papers

• Fast LIDAR-based road detection using fully convolutional neural networks (2017) — 213 citations