Jan Kautz

Computer Vision and Pattern Recognition · with Campbell · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 10 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Jan Kautz trusts overall

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

1. Geoffrey E. Hinton
2. Ce Liu
3. David Cohn
4. Alex Krizhevsky
5. Xiaojin Zhu
6. Yoshua Bengio
7. Kaiming He
8. Yann LeCun
9. Diederik P. Kingma
10. Jitendra Malik

Papers from Jan Kautz's perspective

Ordered by how strongly the researchers Jan Kautz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Et al
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Modeling object appearance using Context-Conditioned Component Analysis (2015) — 5 citations
• Hierarchical Subquery Evaluation for Active Learning on a Graph (2014) — 110 citations