Maxime Bassenne
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it
- Artificial Intelligence — 9 citations into it
- Biomedical Engineering — 5 citations into it
Whom Maxime Bassenne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Maxime Bassenne's perspective
Ordered by how strongly the researchers Maxime Bassenne trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Identity Mappings in Deep Residual Networks
- Deep Learning
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database