Miriam Schönbein
Computer Vision and Pattern Recognition · 2014
A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it; #10,159 of 21,575 by trust here, #18,266 by citations
- Aerospace Engineering — 6 citations into it; #2,182 of 6,421 by trust here, #4,945 by citations
Whom Miriam Schönbein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Geiger
- Heiko Hirschmüller
- Raquel Urtasun
- Tamir Hazan
- Edward Rosten
- A. Neubeck
- Christopher Geyer
- Christopher Mei
- Davide Scaramuzza
- Michael Calonder
Who trusts Miriam Schönbein overall
- Ali O. Ulusoy
- Ekim Yurtsever
- Andreas Geiger
- Michael J. Black
- Jacob Lambert
- Jun Xie
- Fatma Güney
- Yiyi Liao
- Alexander Carballo
Papers from Miriam Schönbein's perspective
Ordered by how strongly the researchers Miriam Schönbein 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Omnidirectional 3D reconstruction in augmented Manhattan worlds (2014) — 75 citations