Steffen Wiewel

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #13,219 of 21,575 by trust here, #15,162 by citations
• Computational Mechanics — 24 citations into it
• Computer Graphics and Computer-Aided Design — 21 citations into it
• Artificial Intelligence — 15 citations into it; #21,297 of 35,345 by trust here, #23,077 by citations
• Statistical and Nonlinear Physics — 9 citations into it; #5,568 of 10,127 by trust here, #5,403 by citations
• Control and Systems Engineering — 7 citations into it
• Generative Models — 5 citations into it

Whom Steffen Wiewel trusts overall

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

1. Nils Thürey
2. Nick Foster
3. Ryoichi Ando
4. Geoffrey E. Hinton
5. Alec Radford
6. Yongning Zhu
7. Hervé Bourlard
8. Alex Krizhevsky
9. Daniel Quang
10. Ronald Fedkiw

Who trusts Steffen Wiewel overall

1. Zijie Li
2. Adil Rasheed
3. Rui Wang
4. Byungsoo Kim
5. Tianlong Chen
6. Kazem Meidani
7. Omer San
8. Nils Thürey
9. Karthik Kashinath
10. Amir Barati Farimani

Papers from Steffen Wiewel's perspective

Ordered by how strongly the researchers Steffen Wiewel 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow (2018) — 321 citations