Marie-Paule Cani

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 17 citations into it

Whom Marie-Paule Cani trusts overall

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

1. Michael Garland

Who trusts Marie-Paule Cani overall

1. Matthias Müller
2. Jens Harald Krüger

Papers from Marie-Paule Cani's perspective

Ordered by how strongly the researchers Marie-Paule Cani trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Going deeper with convolutions
4. Dimensionality Reduction by Learning an Invariant Mapping
5. Normalized cuts and image segmentation
6. mixup: Beyond Empirical Risk Minimization
7. The Elements of Statistical Learning
8. Squeeze-and-Excitation Networks
9. Improved Regularization of Convolutional Neural Networks with Cutout
10. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Their papers

• AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) — 43 citations
• Learning to group discrete graphical patterns (2017) — 20 citations
• A Survey on Hair Modeling: Styling, Simulation, and Rendering (2007) — 295 citations
• Dynamic real-time deformations using space & time adaptive sampling (2001) — 548 citations