Fabian Schuiki
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it
- Artificial Intelligence — 24 citations into it
- Electrical and Electronic Engineering — 16 citations into it
- Hardware and Architecture — 12 citations into it
- Efficiency & Compression — 10 citations into it
- Model Architectures — 10 citations into it
- Optimization & Training — 8 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Fabian Schuiki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Christian Szegedy
- Ilya Sutskever
- Diederik P. Kingma
- Geoffrey E. Hinton
- Song Han
- Yoshua Bengio
- Yann LeCun
- Jimmy Ba
- Kaiming He
Papers from Fabian Schuiki's perspective
Ordered by how strongly the researchers Fabian Schuiki 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images