Björn Fröhlich

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 246 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #12,255 of 21,572 by trust here, #16,370 by citations
• Artificial Intelligence — 14 citations into it

Whom Björn Fröhlich trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Christian Szegedy
8. Jifeng Dai
9. Yann LeCun
10. Yoshua Bengio

Who trusts Björn Fröhlich overall

1. Huiyu Wang
2. Liang-Chieh Chen
3. Qihang Yu

Papers from Björn Fröhlich's perspective

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

Their papers

• Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes (2018) — 68 citations