Philippe Valmaggia
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it
- Artificial Intelligence — 12 citations into it
- Generative Models — 8 citations into it
Whom Philippe Valmaggia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Philippe Valmaggia overall
Papers from Philippe Valmaggia's perspective
Ordered by how strongly the researchers Philippe Valmaggia trusts endorse each paper. Same corpus, a different order for every researcher.
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Diffusion Models for Implicit Image Segmentation Ensembles (2021) — 422 citations