Julia Wolleb

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 22 citations into it
• Generative Models — 20 citations into it
• Biophysics — 8 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Signal Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Julia Wolleb trusts overall

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

1. Alex Nichol
2. Prafulla Dhariwal
3. Jonathan Ho
4. Diederik P. Kingma
5. Jiaming Song
6. Alex Kendall
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Dmitry Baranchuk
10. Yoshua Bengio

Who trusts Julia Wolleb overall

1. Junde Wu
2. Amirhossein Kazerouni
3. Florinel-Alin Croitoru
4. Huihui Fang
5. Shoufa Chen
6. Hanqun Cao
7. Ehsan Khodapanah Aghdam
8. Rao Fu
9. Vlad Hondru
10. Moein Heidari

Papers from Julia Wolleb's perspective

Ordered by how strongly the researchers Julia Wolleb 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: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Diffusion Models for Implicit Image Segmentation Ensembles (2021) — 422 citations
• Diffusion Models for Medical Anomaly Detection (2022) — 417 citations