Paul Bodesheim

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 2 papers; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 16 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Paul Bodesheim trusts overall

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

1. Radford M. Neal
2. Catherine Wah
3. L. Eon Bottou
4. Tom Fawcett
5. Heiko Hoffmann
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Cordelia Schmid
9. Bernhard Schölkopf
10. Matthieu Guillaumin

Who trusts Paul Bodesheim overall

1. Terrance E. Boult

Papers from Paul Bodesheim's perspective

Ordered by how strongly the researchers Paul Bodesheim 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Active learning and discovery of object categories in the presence of unnameable instances (2015) — 58 citations
• Local Novelty Detection in Multi-class Recognition Problems (2015) — 62 citations