Moritz Becher
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; #13,220 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; #21,298 of 35,345 by trust here, #23,077 by citations
- Statistical and Nonlinear Physics — 9 citations into it; #5,569 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 Moritz Becher trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nils Thürey
- Nick Foster
- Ryoichi Ando
- Geoffrey E. Hinton
- Alec Radford
- Alex Krizhevsky
- Yongning Zhu
- Hervé Bourlard
- Daniel Quang
- Ronald Fedkiw
Who trusts Moritz Becher overall
Papers from Moritz Becher's perspective
Ordered by how strongly the researchers Moritz Becher trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow (2018) — 321 citations