233 citations
- Technical University of MunichDE24 papers
- BMW (Germany)DE23 papers
- Ludwig-Maximilians-Universität MünchenDE10 papers
- Google (Switzerland)CH5 papers
- Johns Hopkins UniversityUS5 papers
- Leiden UniversityNL5 papers
- Forschungszentrum JülichDE4 papers
- German Research Centre for Artificial IntelligenceDE4 papers
- Google (United States)US4 papers
- Saarland UniversityDE4 papers
- University of StuttgartDE4 papers
- Munich Center for Quantum Science and TechnologyDE3 papers
67 papers
Beyond Overt Reactions: Analyzing Subtle User Emotional Response to Unexpected In-Vehicle System Behavior
Huy Quyen Ngo, Suresh Kumaar Jayaraman, Brian Mok +4
Modern vehicles, with advanced AI voice and autonomous navigation features, extend beyond traditional driving but, like any autonomous system, can potentially make mistakes or beha…
Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications
Gregor Endler, Sebastian Kraus, Lukas Stappen
Recent advances have introduced speech-to-speech (S2S) conversational assistants capable of producing natural-sounding interactions, including non-verbal cues like tonality and moo…
HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS
Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous +7
With deep neural networks (DNNs) increasingly deployed on edge devices, hardware (HW)-aware optimization techniques--such as HW-aware compression and HW-aware neural architecture s…
3D Segmentation Using Viewpoint-Dependent Spatial Relationships
Ayaka Nanri, Klara Reichard, Mert Kiray +3
Recent advances in 3D datasets and multimodal models have greatly improved natural language 3D scene understanding. However, most 3D referring segmentation methods do not explicitl…
Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. Riofrío
Quantum generative modeling is a rapidly evolving discipline at the intersection of quantum computing and machine learning. Contemporary quantum machine learning is generally limit…
Enhancing Generative AI Image Refinement with Scribbles and Annotations: A Comparative Study of Multimodal Prompts
Hyerim Park, Phuong Thao Tran, Andre Luckow +3
Generative AI (GenAI) image tools are increasingly used in design practice, enabling rapid ideation but offering limited support for refinement tasks such as adjusting layout, scal…