Rasmus Rothe

Orcid: 0000-0001-8835-6789

According to our database1, Rasmus Rothe authored at least 14 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks.
Int. J. Comput. Vis., 2018

2017
Picasso: A Neural Network Visualizer.
CoRR, 2017

Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
A deep understanding from a single image.
PhD thesis, 2016

Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Seven Ways to Improve Example-Based Single Image Super Resolution.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Some Like It Hot - Visual Guidance for Preference Prediction.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

From Face Images and Attributes to Attributes.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Discriminative learning of apparel features.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Efficient regression priors for reducing image compression artifacts.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

DLDR: Deep Linear Discriminative Retrieval for Cultural Event Classification from a Single Image.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

DEX: Deep EXpectation of Apparent Age from a Single Image.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Non-maximum Suppression for Object Detection by Passing Messages Between Windows.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Parameter design tradeoff between prediction performance and training time for Ridge-SVM.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013


  Loading...