Alexander Freytag
Computer Vision and Pattern Recognition · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 383 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #12,377 of 21,575 by trust here, #13,815 by citations
- Artificial Intelligence — 30 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Media Technology — 7 citations into it
- Aerospace Engineering — 6 citations into it; #2,965 of 6,421 by trust here, #3,644 by citations
Whom Alexander Freytag trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Radford M. Neal
- Geoffrey E. Hinton
- Andrew Zisserman
- Andrea Vedaldi
- Catherine Wah
- Ross B. Girshick
- Kaiming He
- Ilya Sutskever
- L. Eon Bottou
Who trusts Alexander Freytag overall
Papers from Alexander Freytag's perspective
Ordered by how strongly the researchers Alexander Freytag trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Nonparametric Part Transfer for Fine-Grained Recognition (2014) — 122 citations
- 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