Stefan Mathe
Computer Vision and Pattern Recognition · 2012–2016
A researcher in the Science corpus: 3 papers; trusts 411 researchers and is trusted by 117 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #3,030 of 21,575 by trust here, #9,872 by citations
- Artificial Intelligence — 13 citations into it; #32,558 of 35,345 by trust here, #25,040 by citations
- Human-Computer Interaction — 8 citations into it; #365 of 2,253 by trust here, #1,275 by citations
- Aerospace Engineering — 7 citations into it
- Cognitive Neuroscience — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Stefan Mathe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antonio Torralba
- Geoffrey E. Hinton
- Laurent Itti
- Alex Krizhevsky
- Ivan Laptev
- Aude Oliva
- Jianguo Zhang
- Navneet Dalal
- Cristian Sminchisescu
- Krista A. Ehinger
Who trusts Stefan Mathe overall
- Dim P. Papadopoulos
- Sean Welleck
- Cristian Sminchisescu
- Georgia Gkioxari
- Yin Li
- Jimei Yang
- Heng Wang
- Elisabeta Marinoiu
- Yuxi Li
- Jasper R. R. Uijlings
Papers from Stefan Mathe's perspective
Ordered by how strongly the researchers Stefan Mathe 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths (2013) — 60 citations
- Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition (2012) — 163 citations
- Reinforcement Learning for Visual Object Detection (2016) — 170 citations