Thomas Mertelmeier
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
Whom Thomas Mertelmeier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Thomas Mertelmeier's perspective
Ordered by how strongly the researchers Thomas Mertelmeier trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)