David Schneider

According to our database, David Schneider authored at least 22 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection.

David Schneider, Zdravko Marinov, Rafael Baur, Zeyun Zhong, Rodi Düger, Rainer Stiefelhagen

CoRR, May, 2025

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, Alina Roitberg, Rainer Stiefelhagen, Gerhard Neumann, Michael Heizmann, Tamim Asfour, Barbara Deml

Autom., September, 2024

Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization.

Kunyu Peng, Di Wen, Muhammad Saquib Sarfraz, Yufan Chen, Junwei Zheng, David Schneider, Kailun Yang, Jiamin Wu, Alina Roitberg, Rainer Stiefelhagen

CoRR, 2024

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data.

Kartik Patwari, David Schneider, Xiaoxiao Sun, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma

CoRR, 2024

Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations.

David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen

CoRR, 2024

Masked Differential Privacy.

David Schneider, Sina Sajadmanesh, Vikash Sehwag, M. Saquib Sarfraz, Rainer Stiefelhagen, Lingjuan Lyu, Vivek Sharma

CoRR, 2024

Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations.

David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Video-based Activated Muscle Group Estimation in the Wild.

Kunyu Peng, David Schneider, Alina Roitberg, Kailun Yang, Jiaming Zhang, Chen Deng, Kaiyu Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data.

David Schneider, Marco Keller, Zeyun Zhong, Kunyu Peng, Alina Roitberg, Jürgen Beyerer, Rainer Stiefelhagen

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Navigating Open Set Scenarios for Skeleton-Based Action Recognition.

Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments.

Yifei Chen, Kunyu Peng, Alina Roitberg, David Schneider, Jiaming Zhang, Junwei Zheng, Ruiping Liu, Yufan Chen, Kailun Yang, Rainer Stiefelhagen

CoRR, 2023

FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition.

Kunyu Peng, Di Wen, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg

CoRR, 2023

MuscleMap: Towards Video-based Activated Muscle Group Estimation.

Kunyu Peng, David Schneider, Alina Roitberg, Kailun Yang, Jiaming Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen

CoRR, 2023

Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation.

Zeyun Zhong, David Schneider, Michael Voit, Rainer Stiefelhagen, Jürgen Beyerer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Is My Driver Observation Model Overconfident? Input-Guided Calibration Networks for Reliable and Interpretable Confidence Estimates.

Alina Roitberg, Kunyu Peng, David Schneider, Kailun Yang, Marios Koulakis, Manuel Martínez, Rainer Stiefelhagen

IEEE Trans. Intell. Transp. Syst., 2022

Erfassung und Interpretation menschlicher Handlungen für die Programmierung von Robotern in der Produktion.

Christian R. G. Dreher, Manuel Zaremski, Fabian Leven, David Schneider, Alina Roitberg, Rainer Stiefelhagen, Michael Heizmann, Barbara Deml, Tamim Asfour

Autom., 2022

A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding.

Alina Roitberg, Kunyu Peng, Zdravko Marinov, Constantin Seibold, David Schneider, Rainer Stiefelhagen

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living.

Zdravko Marinov, David Schneider, Alina Roitberg, Rainer Stiefelhagen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization.

Zdravko Marinov, Alina Roitberg, David Schneider, Rainer Stiefelhagen

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Pose-based Contrastive Learning for Domain Agnostic Activity Representations.

David Schneider, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games.

Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning.

Kunyu Peng, Alina Roitberg, David Schneider, Marios Koulakis, Kailun Yang, Rainer Stiefelhagen

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021