Rüdiger Göbl
Computer Vision and Pattern Recognition · 2019
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 — 13 citations into it
Whom Rüdiger Göbl trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
Papers from Rüdiger Göbl's perspective
Ordered by how strongly the researchers Rüdiger Göbl trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Rethinking the Inception Architecture for Computer Vision
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Intriguing properties of neural networks
- ImageNet classification with deep convolutional neural networks
- Automatic differentiation in PyTorch
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge