David Schneider
Orcid: 0000-0002-3272-2337Affiliations:
- Karlsruhe Institute of Technology, Germany
According to our database1,
David Schneider authored at least 29 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning.
CoRR, May, 2026
CoRR, May, 2026
IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory.
CoRR, April, 2026
IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly.
CoRR, April, 2026
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization.
Int. J. Comput. Vis., March, 2026
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
Proceedings of the 20th IEEE International Conference on Automatic Face and Gesture Recognition, 2026
2025
CoRR, May, 2025
Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments.
Proceedings of the International Joint Conference on Neural Networks, 2025
2024
Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory.
Autom., September, 2024
Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations.
CoRR, 2024
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
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.
CoRR, 2023
CoRR, 2023
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.
IEEE Trans. Intell. Transp. Syst., 2022
Erfassung und Interpretation menschlicher Handlungen für die Programmierung von Robotern in der Produktion.
Autom., 2022
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
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.
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.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021