Christopher Stauffer
Computer Vision and Pattern Recognition · 2014
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Christopher Stauffer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Christopher Stauffer's perspective
Ordered by how strongly the researchers Christopher Stauffer 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)
- SUN database: Large-scale scene recognition from abbey to zoo
- Going deeper with convolutions
- IM2GPS: estimating geographic information from a single image
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images