Sebastian M. Schmon

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 10 citations into it
• Generative Models — 8 citations into it

Whom Sebastian M. Schmon trusts overall

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

1. Ken Perlin
2. Prafulla Dhariwal
3. Thomas Schlegl
4. Individualized Treat
5. Diederik P. Kingma
6. Aäron van den Oord
7. Sergey Zagoruyko
8. Geoffrey E. Hinton
9. Tim Salimans
10. Jonathan Ho

Papers from Sebastian M. Schmon's perspective

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

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

Their papers

• AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise (2022) — 484 citations