Frederic Boesel

Computer Vision and Pattern Recognition · 2024–2025

A researcher in the Science corpus: 3 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 112 citations into it
• Generative Models — 56 citations into it
• Artificial Intelligence — 45 citations into it
• Statistical and Nonlinear Physics — 28 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it

Whom Frederic Boesel trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Pascal Vincent
4. Aapo Hyvärinen
5. Alex Krizhevsky
6. Jonathan Ho
7. Yoshua Bengio
8. Yang Song
9. Prafulla Dhariwal
10. Kaiming He

Papers from Frederic Boesel's perspective

Ordered by how strongly the researchers Frederic Boesel 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (2024) — 4,349 citations
• Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation (2024) — 299 citations
• FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space (2025) — 917 citations