Be responsible for developing and managing the AI product portfolio and roadmap, ensuring alignment with market demands, customer needs, and Mercedes-Benz's strategic goals.- Product Portfolio Strategy: Develop and execute a comprehensive AI product portfolio strategy aligned with Mercedes-Benz's vision, market trends, and customer requirements.- Market Research: Continuously monitor the automotive and AI industries to identify emerging trends, competitive threats, and potential… Show more Be responsible for developing and managing the AI product portfolio and roadmap, ensuring alignment with market demands, customer needs, and Mercedes-Benz's strategic goals.- Product Portfolio Strategy: Develop and execute a comprehensive AI product portfolio strategy aligned with Mercedes-Benz's vision, market trends, and customer requirements.- Market Research: Continuously monitor the automotive and AI industries to identify emerging trends, competitive threats, and potential opportunities for product development.- Product Roadmap: Collaborate with cross-functional teams, including engineering, research and development, and marketing, to define and execute product roadmaps that deliver innovative AI solutions to the market.
- Product Lifecycle Management: Oversee the entire product lifecycle from concept to end-of-life, including product launch, feature enhancements, and product retirement.
- Cross-Functional Collaboration: Work closely with engineering, data science, design, and sales teams to ensure alignment of product development with market demand. Show less

Grade: 1.3Substract: We proposed an image generative model, which is a style-based layout-to-image diffusion model. It can generate images with high fidelity and diversity given layouts (labels and bounding boxes) as conditioning information. Our model achieved state-of-the-art performance on the common benchmarking dataset and showed a strong ability to handle multi-object instance combinations with complicated backgrounds.STAY Diffusion: Styled Layout Diffusion Model for Diverse… Show more Grade: 1.3Substract: We proposed an image generative model, which is a style-based layout-to-image diffusion model. It can generate images with high fidelity and diversity given layouts (labels and bounding boxes) as conditioning information. Our model achieved state-of-the-art performance on the common benchmarking dataset and showed a strong ability to handle multi-object instance combinations with complicated backgrounds.STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-image Generation Show less

- The state-of-the-art image generative models (Diffusion models and GANs)- Conditional image synthesis (semantic and layout)

- Feature selection research- Gaze data extraction