Daniel Justus

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Daniel Justus trusts overall

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

1. Karen Simonyan
2. Vinod Nair
3. Geoffrey E. Hinton
4. J. Kiefer
5. Andrew Zisserman
6. Alex Krizhevsky
7. Jie Hu
8. Kaiming He
9. Ilya Sutskever
10. David Silver

Who trusts Daniel Justus overall

1. James Smith

Papers from Daniel Justus's perspective

Ordered by how strongly the researchers Daniel Justus 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Predicting the Computational Cost of Deep Learning Models (2018) — 287 citations