S. Röhrich
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it
Whom S. Röhrich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from S. Röhrich's perspective
Ordered by how strongly the researchers S. Röhrich trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Multi-Scale Context Aggregation by Dilated Convolutions
- The Cityscapes Dataset for Semantic Urban Scene Understanding
- ImageNet classification with deep convolutional neural networks
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- Gradient-based learning applied to document recognition
- Training Very Deep Networks
- Learning Multiple Layers of Features from Tiny Images