Dan Scheibler

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 18 citations into it
• Cognitive Neuroscience — 11 citations into it

Whom Dan Scheibler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ilya Sutskever
2. Laurent Itti
3. Geoffrey E. Hinton
4. Luis von Ahn
5. Sergey Zagoruyko
6. Karen Simonyan
7. Alex Krizhevsky
8. Mahdi Biparva
9. Kaiming He
10. Yoshua Bengio

Papers from Dan Scheibler's perspective

Ordered by how strongly the researchers Dan Scheibler trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Global-and-local attention networks for visual recognition (2018) — 33 citations