Manuel Jahn

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Generative Models — 18 citations into it
• Artificial Intelligence — 9 citations into it

Whom Manuel Jahn trusts overall

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

1. Aäron van den Oord
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Tianfu Wu
6. Alex Krizhevsky
7. Kaiming He
8. Oriol Vinyals
9. Ilya Sutskever
10. Yann LeCun

Who trusts Manuel Jahn overall

1. Robin Rombach
2. Zuopeng Yang
3. Wanshu Fan
4. Andreas Blattmann
5. Daqing Liu
6. Yen-Chun Chen

Papers from Manuel Jahn's perspective

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

Their papers

• High-Resolution Complex Scene Synthesis with Transformers (2021) — 44 citations