Sven Eberhardt
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 245 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it
- Artificial Intelligence — 32 citations into it
- Cognitive Neuroscience — 20 citations into it; #6,035 of 10,852 by trust here, #7,860 by citations
- Model Architectures — 10 citations into it
- Media Technology — 5 citations into it
Whom Sven Eberhardt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Andrew Zisserman
- Ilya Sutskever
- Jia Deng
- Yann LeCun
- Yoshua Bengio
- Ross B. Girshick
Who trusts Sven Eberhardt overall
Papers from Sven Eberhardt's perspective
Ordered by how strongly the researchers Sven Eberhardt 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
- 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
- Global-and-local attention networks for visual recognition (2018) — 33 citations
- What are the Visual Features Underlying Human Versus Machine Vision? (2017) — 52 citations
- How Deep is the Feature Analysis underlying Rapid Visual Categorization? (2016) — 53 citations