Gernot A. Fink

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 22 citations into it
• Model Architectures — 5 citations into it

Whom Gernot A. Fink trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Kaiming He
3. Karen Simonyan
4. Alex Krizhevsky
5. Andrew Zisserman
6. Yann LeCun
7. Yoshua Bengio
8. Diederik P. Kingma
9. Jia Deng
10. Ilya Sutskever

Papers from Gernot A. Fink's perspective

Ordered by how strongly the researchers Gernot A. Fink trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation (2020) — 32 citations
• Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images (2017) — 152 citations