Angélique Loesch

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #30,737 of 35,345 by trust here, #20,836 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Angélique Loesch trusts overall

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

1. Kaiming He
2. Sergey Zagoruyko
3. Niv Cohen

Who trusts Angélique Loesch overall

1. Hanqiu Deng

Papers from Angélique Loesch's perspective

Ordered by how strongly the researchers Angélique Loesch 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. Gradient-based learning applied to document recognition
4. Wide Residual Networks
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization (2020) — 1,422 citations