Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning. - Kunyu Peng; Alina Roitberg; David Schneider 006; Marios Koulakis; Kailun Yang 001; Rainer Stiefelhagen (FG, 2021)

Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. - Alina Roitberg; David Schneider 006; Aulia Djamal; Constantin Seibold; Simon Reiß; Rainer Stiefelhagen (IROS, 2021)

Pose-based Contrastive Learning for Domain Agnostic Activity Representations. - David Schneider 006; M. Saquib Sarfraz; Alina Roitberg; Rainer Stiefelhagen (CVPR Workshops, 2022)

ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization. - Zdravko Marinov; Alina Roitberg; David Schneider 006; Rainer Stiefelhagen (ECCV Workshops (8), 2022)

Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living. - Zdravko Marinov; David Schneider 006; Alina Roitberg; Rainer Stiefelhagen (IROS, 2022)

A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. - Alina Roitberg; Kunyu Peng; Zdravko Marinov; Constantin Seibold; David Schneider 006; Rainer Stiefelhagen (IV, 2022)

Erfassung und Interpretation menschlicher Handlungen für die Programmierung von Robotern in der Produktion. - Christian R. G. Dreher; Manuel Zaremski; Fabian Leven; David Schneider 006; Alina Roitberg; Rainer Stiefelhagen; Michael Heizmann; Barbara Deml; Tamim Asfour (Autom., 2022)

Is My Driver Observation Model Overconfident? Input-Guided Calibration Networks for Reliable and Interpretable Confidence Estimates. - Alina Roitberg; Kunyu Peng; David Schneider 006; Kailun Yang 001; Marios Koulakis; Manuel Martínez 001; Rainer Stiefelhagen (IEEE Trans. Intell. Transp. Syst., 2022)

Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation. - Zeyun Zhong; David Schneider 006; Michael Voit; Rainer Stiefelhagen; Jürgen Beyerer (WACV, 2023)

MuscleMap: Towards Video-based Activated Muscle Group Estimation. - Kunyu Peng; David Schneider 006; Alina Roitberg; Kailun Yang 001; Jiaming Zhang 001; M. Saquib Sarfraz; Rainer Stiefelhagen (CoRR, 2023)

FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition. - Kunyu Peng; Di Wen 006; David Schneider 006; Jiaming Zhang 001; Kailun Yang 001; M. Saquib Sarfraz; Rainer Stiefelhagen; Alina Roitberg (CoRR, 2023)

Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments. - Yifei Chen; Kunyu Peng; Alina Roitberg; David Schneider 006; Jiaming Zhang 001; Junwei Zheng; Ruiping Liu 001; Yufan Chen 001; Kailun Yang 001; Rainer Stiefelhagen (CoRR, 2023)

Navigating Open Set Scenarios for Skeleton-Based Action Recognition. - Kunyu Peng; Cheng Yin; Junwei Zheng; Ruiping Liu 001; David Schneider 006; Jiaming Zhang 001; Kailun Yang 001; M. Saquib Sarfraz; Rainer Stiefelhagen; Alina Roitberg (AAAI, 2024)

SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data. - David Schneider 006; Marco Keller; Zeyun Zhong; Kunyu Peng; Alina Roitberg; Jürgen Beyerer; Rainer Stiefelhagen (ICRA, 2024)

Towards Video-based Activated Muscle Group Estimation in the Wild. - Kunyu Peng; David Schneider 006; Alina Roitberg; Kailun Yang 001; Jiaming Zhang 001; Chen Deng; Kaiyu Zhang; M. Saquib Sarfraz; Rainer Stiefelhagen (ACM Multimedia, 2024)

Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations. - David Schneider 006; Simon Reiß; Marco Kugler; Alexander Jaus; Kunyu Peng; Susanne Sutschet; M. Saquib Sarfraz; Sven Matthiesen; Rainer Stiefelhagen (NeurIPS, 2024)

Masked Differential Privacy. - David Schneider 006; Sina Sajadmanesh; Vikash Sehwag; M. Saquib Sarfraz; Rainer Stiefelhagen; Lingjuan Lyu; Vivek Sharma 001 (CoRR, 2024)

Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. - David Schneider 006; Simon Reiß; Marco Kugler; Alexander Jaus; Kunyu Peng; Susanne Sutschet; M. Saquib Sarfraz; Sven Matthiesen; Rainer Stiefelhagen (CoRR, 2024)

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data. - Kartik Patwari; David Schneider 006; Xiaoxiao Sun 002; Chen-Nee Chuah; Lingjuan Lyu; Vivek Sharma 001 (CoRR, 2024)

Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization. - Kunyu Peng; Di Wen 006; Muhammad Saquib Sarfraz; Yufan Chen 001; Junwei Zheng; David Schneider 006; Kailun Yang 001; Jiamin Wu; Alina Roitberg; Rainer Stiefelhagen (CoRR, 2024)

Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory. - Manuel Zaremski; Blanca Handwerker; Christian R. G. Dreher; Fabian Leven; David Schneider 006; Alina Roitberg; Rainer Stiefelhagen; Gerhard Neumann; Michael Heizmann; Tamim Asfour; Barbara Deml (Autom., 2024)

OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection. - David Schneider 006; Zdravko Marinov; Rafael Baur; Zeyun Zhong; Rodi Düger; Rainer Stiefelhagen (CoRR, 2025)