Manuel Fritsche

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 249 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #16,855 of 21,575 by trust here, #17,258 by citations
• Media Technology — 17 citations into it; #2,670 of 3,621 by trust here, #2,598 by citations
• Generative Models — 15 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Manuel Fritsche trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Kaiming He
4. Radu Timofte
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Phillip Isola
8. Andrew Zisserman
9. Individualized Treat
10. Jimmy Ba

Who trusts Manuel Fritsche overall

1. Liangbin Xie
2. Kai Zhang
3. Xiaozhong Ji
4. Honggang Chen
5. Zhen-Wen Han
6. Jingyun Liang
7. Chao Dong
8. Yun Cao
9. Andreas Lugmayr
10. Radu Timofte

Papers from Manuel Fritsche's perspective

Ordered by how strongly the researchers Manuel Fritsche 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Frequency Separation for Real-World Super-Resolution (2019) — 275 citations