Guillaume Vaudaux-Ruth
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it
- Artificial Intelligence — 16 citations into it
Whom Guillaume Vaudaux-Ruth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adam Laud
- Andrew Zisserman
- João Carreira
- Fabian Caba Heilbron
- Yoshua Bengio
- Geoffrey E. Hinton
- Mark Everingham
- Zheng Shou
- Alex Krizhevsky
- Karen Simonyan
Papers from Guillaume Vaudaux-Ruth's perspective
Ordered by how strongly the researchers Guillaume Vaudaux-Ruth 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions