David Schneider

32 papers A* 4A 3B 2C 1Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization. Int. J. Comput. Vis. Kunyu Peng, Di Wen, M. Saquib Sarfraz, Yufan Chen, Junwei Zheng, David Schneider, Kailun Yang, Jiamin Wu, Alina Roitberg, Rainer Stiefelhagen
2025	B	`conf`	Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments. IJCNN Yifei Chen, Kunyu Peng, Alina Roitberg, David Schneider, Jiaming Zhang, Junwei Zheng, Yufan Chen, Ruiping Liu, Kailun Yang, Rainer Stiefelhagen
2025	J	`jnl`	OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection. CoRR David Schneider, Zdravko Marinov, Rafael Baur, Zeyun Zhong, Rodi Düger, Rainer Stiefelhagen
2024	J	`jnl`	Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory. Autom. Manuel Zaremski, Blanca Handwerker, Christian R. G. Dreher, Fabian Leven, David Schneider, Alina Roitberg, Rainer Stiefelhagen, Gerhard Neumann, Michael Heizmann, Tamim Asfour, Barbara Deml
2024	J	`jnl`	Masked Differential Privacy. CoRR David Schneider, Sina Sajadmanesh, Vikash Sehwag, M. Saquib Sarfraz, Rainer Stiefelhagen, Lingjuan Lyu, Vivek Sharma
2024	J	`jnl`	Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization. CoRR Kunyu Peng, Di Wen, Muhammad Saquib Sarfraz, Yufan Chen, Junwei Zheng, David Schneider, Kailun Yang, Jiamin Wu, Alina Roitberg, Rainer Stiefelhagen
2024	A*	`conf`	Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations. NeurIPS David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen
2024	J	`jnl`	Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. CoRR David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen
2024	A*	`conf`	Navigating Open Set Scenarios for Skeleton-Based Action Recognition. AAAI Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg
2024	J	`jnl`	Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data. CoRR Kartik Patwari, David Schneider, Xiaoxiao Sun, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma
2024	A*	`conf`	SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data. ICRA David Schneider, Marco Keller, Zeyun Zhong, Kunyu Peng, Alina Roitberg, Jürgen Beyerer, Rainer Stiefelhagen
2024	A*	`conf`	Towards Video-based Activated Muscle Group Estimation in the Wild. ACM Multimedia Kunyu Peng, David Schneider, Alina Roitberg, Kailun Yang, Jiaming Zhang, Chen Deng, Kaiyu Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen
2023	A	`conf`	Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation. WACV Zeyun Zhong, David Schneider, Michael Voit, Rainer Stiefelhagen, Jürgen Beyerer
2023	J	`jnl`	FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition. CoRR Kunyu Peng, Di Wen, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg
2023	J	`jnl`	MuscleMap: Towards Video-based Activated Muscle Group Estimation. CoRR Kunyu Peng, David Schneider, Alina Roitberg, Kailun Yang, Jiaming Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen
2023	J	`jnl`	Navigating Open Set Scenarios for Skeleton-based Action Recognition. CoRR Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg
2023	J	`jnl`	Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments. CoRR Yifei Chen, Kunyu Peng, Alina Roitberg, David Schneider, Jiaming Zhang, Junwei Zheng, Ruiping Liu, Yufan Chen, Kailun Yang, Rainer Stiefelhagen
2022	C	`conf`	A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. IV Alina Roitberg, Kunyu Peng, Zdravko Marinov, Constantin Seibold, David Schneider, Rainer Stiefelhagen
2022	J	`jnl`	A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. CoRR Alina Roitberg, Kunyu Peng, Zdravko Marinov, Constantin Seibold, David Schneider, Rainer Stiefelhagen
2022	J	`jnl`	Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation. CoRR Zeyun Zhong, David Schneider, Michael Voit, Rainer Stiefelhagen, Jürgen Beyerer
2022	J	`jnl`	Erfassung und Interpretation menschlicher Handlungen für die Programmierung von Robotern in der Produktion. Autom. Christian R. G. Dreher, Manuel Zaremski, Fabian Leven, David Schneider, Alina Roitberg, Rainer Stiefelhagen, Michael Heizmann, Barbara Deml, Tamim Asfour
2022	J	`jnl`	Is My Driver Observation Model Overconfident? Input-Guided Calibration Networks for Reliable and Interpretable Confidence Estimates. IEEE Trans. Intell. Transp. Syst. Alina Roitberg, Kunyu Peng, David Schneider, Kailun Yang, Marios Koulakis, Manuel Martínez, Rainer Stiefelhagen
2022	J	`jnl`	Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates. CoRR Alina Roitberg, Kunyu Peng, David Schneider, Kailun Yang, Marios Koulakis, Manuel Martínez, Rainer Stiefelhagen
2022	—	`conf`	ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization. ECCV Workshops (8) Zdravko Marinov, Alina Roitberg, David Schneider, Rainer Stiefelhagen
2022	J	`jnl`	ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization. CoRR Zdravko Marinov, Alina Roitberg, David Schneider, Rainer Stiefelhagen
2022	A	`conf`	Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living. IROS Zdravko Marinov, David Schneider, Alina Roitberg, Rainer Stiefelhagen
2022	J	`jnl`	Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living. CoRR Zdravko Marinov, David Schneider, Alina Roitberg, Rainer Stiefelhagen
2022	—	`conf`	Pose-based Contrastive Learning for Domain Agnostic Activity Representations. CVPR Workshops David Schneider, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen
2021	B	`conf`	Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning. FG Kunyu Peng, Alina Roitberg, David Schneider, Marios Koulakis, Kailun Yang, Rainer Stiefelhagen
2021	J	`jnl`	Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning. CoRR Kunyu Peng, Alina Roitberg, David Schneider, Marios Koulakis, Kailun Yang, Rainer Stiefelhagen
2021	A	`conf`	Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. IROS Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen
2021	J	`jnl`	Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. CoRR Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen