Sebastian Stein

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 2 papers; trusts 63 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #4,110 of 21,575 by trust here, #9,305 by citations
• Artificial Intelligence — 10 citations into it

Whom Sebastian Stein trusts overall

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

1. Ivan Laptev
2. Ron Kohavi
3. George Forman
4. Heng Wang
5. Marcus Rohrbach
6. Josef Kittler
7. Cordelia Schmid
8. Martin Scholz
9. Geoffrey E. Hinton
10. Kaiming He

Who trusts Sebastian Stein overall

1. Hilde Kuehne
2. Colin S. Lea
3. Fadime Sener
4. Yazan Abu Farha
5. Juergen Gall
6. Rohit Girdhar
7. Chen Sun
8. Dima Damen
9. Alexander Richard
10. Jun Li

Papers from Sebastian Stein's perspective

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

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

Their papers

• Combining embedded accelerometers with computer vision for recognizing food preparation activities (2013) — 535 citations
• User-adaptive models for recognizing food preparation activities (2013) — 21 citations