Ina Indlekofer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Biomedical Engineering — 7 citations into it
• Cardiology and Cardiovascular Medicine — 6 citations into it
• Model Architectures — 6 citations into it

Whom Ina Indlekofer trusts overall

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

1. Karen Simonyan
2. Sergey Ioffe
3. Kaiming He
4. Zhilin Zhang
5. Christian Szegedy
6. Andrew Zisserman
7. Gao Huang
8. Djork-Arné Clevert
9. Geoffrey E. Hinton
10. Nils Y. Hammerla

Papers from Ina Indlekofer's perspective

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

Their papers

• Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks (2019) — 408 citations