Fabian Küppers

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #21,176 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Fabian Küppers trusts overall

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

1. Bianca Zadrozny
2. Kaiming He
3. Shaoqing Ren
4. Ross B. Girshick
5. Andrew Zisserman
6. Charles Peter Elkan
7. Geoffrey E. Hinton
8. Jifeng Dai
9. Alex Krizhevsky
10. Tsung-Yi Lin

Who trusts Fabian Küppers overall

1. Prashant Bhat
2. Bahram Zonooz
3. Elahe Arani

Papers from Fabian Küppers's perspective

Ordered by how strongly the researchers Fabian Küppers 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Multivariate Confidence Calibration for Object Detection (2020) — 146 citations