Das Viskosy-Projekt: Ein Erfahrungsbericht. - Michael Danner; Roland Weber (Informatik und Ausbildung, 1998)

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 (RoboCup, 2017)

Texture-based 3D Face Recognition using Deep Neural Networks for Unconstrained Human-machine Interaction. - Michael Danner; Patrik Huber 001; Muhammad Awais 001; Zhenhua Feng 001; Josef Kittler; Matthias Rätsch (VISIGRAPP (5: VISAPP), 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 (VISIGRAPP (5: VISAPP), 2020)

Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction. - Michael Danner; Thomas Weber; Le Ping Peng; Tobias Gerlach; Xueping Su; Matthias Rätsch (CoRR, 2021)

Evolutional Normal Maps: 3D Face Representations for 2D-3D Face Recognition, Face Modelling and Data Augmentation. - Michael Danner; Thomas Weber; Patrik Huber 001; Muhammad Awais 001; Matthias Rätsch; Josef Kittler (VISIGRAPP (5: VISAPP), 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 (VISIGRAPP (4: VISAPP), 2022)

GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images. - Michael Danner; Patrik Huber 001; Muhammad Awais 001; Matthias Rätsch; Josef Kittler (DeLTA, 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 (DeLTA, 2023)

Evaluation of Low-Cost 3D Scanner Hardware for Clothing Industry. - Michael Danner; Elena Alida Brake; Christian Decker 003; Matthias Rätsch; Yordan Kyosev; Katerina Rose (ICINCO (1), 2023)

TFCSG: An Unsupervised Approach for Question-retrieval Over Multi-task Learning. - Shang Aiguo; Michael Danner; Xinjuan Zhu; Matthias Rätsch (SICE, 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 (SICE, 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 (VISIGRAPP (5: VISAPP), 2023)

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 (VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 2024)

Unsupervised question-retrieval approach based on topic keywords filtering and multi-task learning. - Shang Aiguo; Xinjuan Zhu; Michael Danner; Matthias Rätsch (Comput. Speech Lang., 2024)

Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection. - Julia Ohse; Bakir Hadzic; Parvez Mohammed; Nicolina Laura Peperkorn; Michael Danner; Akihiro Yorita; Naoyuki Kubota; Matthias Rätsch; Youssef Shiban (Comput. Speech Lang., 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., 2024)