Fabian B. Flohr

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 607 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #15,270 of 21,575 by trust here, #11,083 by citations
• Artificial Intelligence — 28 citations into it; #25,047 of 35,345 by trust here, #20,377 by citations
• Evaluation & Benchmarks — 10 citations into it
• Automotive Engineering — 5 citations into it; #1,621 of 3,081 by trust here, #1,425 by citations

Whom Fabian B. Flohr trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Piotr Doll'ar
6. Karen Simonyan
7. Andrew Zisserman
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Fabian B. Flohr overall

1. Yu Kong
2. Amir Rasouli

Papers from Fabian B. Flohr's perspective

Ordered by how strongly the researchers Fabian B. Flohr trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Context-Based Pedestrian Path Prediction (2014) — 298 citations
• EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes (2018) — 262 citations