Michael Danner

According to our database, Michael Danner authored at least 15 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Personalized clothing recommendation fusing the 4-season color system and users' biological characteristics.

Xueping Su, Jiawei Duan, Jie Ren, Yunhong Li, Michael Danner, Matthias Rätsch, Jinye Peng

Multim. Tools Appl., February, 2024

AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study.

Bakir Hadzic, Julia Ohse, Michael Danner, Nicolina Laura Peperkorn, Parvez Mohammed, Youssef Shiban, Matthias Rätsch

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets.

Michael Danner, Bakir Hadzic, Robert Radloff, Xueping Su, Le Ping Peng, Thomas Weber, Matthias Rätsch

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Advancing Mental Health Diagnostics: GPT-Based Method for Depression Detection.

Michael Danner, Bakir Hadzic, Sophie Gerhardt, Simon Ludwig, Irem Uslu, Peng Shao, Thomas Weber, Youssef Shiban, Matthias Rätsch

Proceedings of the 62nd Annual Conference of the Society of Instrument and Control Engineers, 2023

TFCSG: An Unsupervised Approach for Question-retrieval Over Multi-task Learning.

Shang Aiguo, Michael Danner, Xinjuan Zhu, Matthias Rätsch

Proceedings of the 62nd Annual Conference of the Society of Instrument and Control Engineers, 2023

Evaluation of Low-Cost 3D Scanner Hardware for Clothing Industry.

Michael Danner, Elena Alida Brake, Christian Decker, Matthias Rätsch, Yordan Kyosev, Katerina Rose

Proceedings of the 20th International Conference on Informatics in Control, 2023

Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application.

Michael Danner, Bakir Hadzic, Thomas Weber, Xinjuan Zhu, Matthias Rätsch

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.

Michael Danner, Patrik Huber, Muhammad Awais, Matthias Rätsch, Josef Kittler

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

2022

Semantic Risk-aware Costmaps for Robots in Industrial Applications using Deep Learning on Abstracted Safety Classes from Synthetic Data.

Thomas Weber, Michael Danner, Bo Zhang, Matthias Rätsch, Andreas Zell

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Evolutional Normal Maps: 3D Face Representations for 2D-3D Face Recognition, Face Modelling and Data Augmentation.

Michael Danner, Thomas Weber, Patrik Huber, Muhammad Awais, Matthias Rätsch, Josef Kittler

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction.

Michael Danner, Thomas Weber, Le Ping Peng, Tobias Gerlach, Xueping Su, Matthias Rätsch

CoRR, 2021

2020

Who Loves Virtue as much as He Loves Beauty?: Deep Learning based Estimator for Aesthetics of Portraits.

Tobias Gerlach, Michael Danner, Le Ping Peng, Aidas Kaminickas, Wu Fei, Matthias Rätsch

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Texture-based 3D Face Recognition using Deep Neural Networks for Unconstrained Human-machine Interaction.

Michael Danner, Patrik Huber, Muhammad Awais, Zhen-Hua Feng, Josef Kittler, Matthias Rätsch

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2017

Follow Me: Real-Time in the Wild Person Tracking Application for Autonomous Robotics.

Thomas Weber, Sergey Triputen, Michael Danner, Sascha Braun, Kristiaan Schreve, Matthias Rätsch

Proceedings of the RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]., 2017

1998

Das Viskosy-Projekt: Ein Erfahrungsbericht.

Michael Danner, Roland Weber

Proceedings of the Informatik und Ausbildung, GI-Fachtagung 98, 1998