Franziska Mueller

Computer Vision and Pattern Recognition · 2006–2017

A researcher in the Science corpus: 4 papers; trusts 230 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 114 citations into it; #6,412 of 21,575 by trust here, #4,245 by citations
• Human-Computer Interaction — 43 citations into it; #1,006 of 2,253 by trust here, #335 by citations
• Control and Systems Engineering — 29 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Franziska Mueller trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Matthew D. Zeiler
5. Alex Krizhevsky
6. Yann LeCun
7. Ross B. Girshick
8. Yoshua Bengio
9. Jia Deng
10. Srinath Sridhar

Who trusts Franziska Mueller overall

1. Bugra Tekin
2. Pavlo Molchanov
3. Fanqing Lin
4. Adnane Boukhayma
5. Liuhao Ge
6. Christiane Zimmermann
7. Yuxiao Zhou
8. Gyeongsik Moon
9. Yu-Wei Chao
10. Linlin Yang

Papers from Franziska Mueller's perspective

Ordered by how strongly the researchers Franziska Mueller 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. ImageNet: A large-scale hierarchical image database
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB (2017) — 565 citations
• Real-Time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor (2017) — 333 citations
• Single-Shot Multi-person 3D Pose Estimation from Monocular RGB (2017) — 460 citations
• Computer Vision – ECCV 2006 (2006) — 992 citations