Thorsten Hoeser
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 1,175 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 110 citations into it
- Artificial Intelligence — 58 citations into it
- Model Architectures — 26 citations into it
- Media Technology — 16 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Optimization & Training — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Ocean Engineering — 9 citations into it
Whom Thorsten Hoeser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Christian Szegedy
- Karen Simonyan
- Ilya Sutskever
- Liang-Chieh Chen
Who trusts Thorsten Hoeser overall
Papers from Thorsten Hoeser's perspective
Ordered by how strongly the researchers Thorsten Hoeser trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions