Gregor Urban

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Computer Vision and Pattern Recognition — 55 citations into it
• Model Architectures — 33 citations into it
• Signal Processing — 19 citations into it
• Optimization & Training — 14 citations into it
• Radiology, Nuclear Medicine and Imaging — 13 citations into it
• Natural Language Processing — 10 citations into it
• Media Technology — 5 citations into it

Whom Gregor Urban trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Karen Simonyan
5. Alex Krizhevsky
6. Jimmy Ba
7. Christian Szegedy
8. Yann LeCun
9. Alex Graves
10. Pierre Baldi

Who trusts Gregor Urban overall

1. Zheng Xu
2. Lifu Tu
3. Ruishan Liu
4. Yen-Chang Hsu
5. Arvid Lundervold
6. Antonio Polino
7. Seonguk Park
8. Taehyeon Kim
9. Sungsoo Ahn
10. Yifan Liu

Papers from Gregor Urban's perspective

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

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

Their papers

• Blending LSTMs into CNNs (2015) — 61 citations
• Deep Learning Localizes and Identifies Polyps in Real Time with 96% Accuracy in Screening Colonoscopy (2018) — 673 citations
• Analysis of Deep Neural Networks with Extended Data Jacobian Matrix (2016) — 38 citations
• Deep MRI brain extraction: A 3D convolutional neural network for skull stripping (2016) — 491 citations
• Do Deep Convolutional Nets Really Need to be Deep and Convolutional? (2016) — 259 citations