Christoph Reich

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Christoph Reich trusts overall

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

1. Kaiming He
2. Andrew L. Maas
3. Ilya Loshchilov
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. X. Zhang
8. Olaf Ronneberger
9. Shaoqing Ren
10. Yoshua Bengio

Who trusts Christoph Reich overall

1. Ye Du
2. Maximilian Durner

Papers from Christoph Reich's perspective

Ordered by how strongly the researchers Christoph Reich 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Attention-Based Transformers for Instance Segmentation of Cells in Microstructures (2020) — 110 citations