Matthias Hilpert
Berlin, Berlin,Germany
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Matthias Hilpert is a distinguished Senior Deep Learning Scientist at NVIDIA, with a strong research background in computer vision, 3D reconstruction, neural rendering, and generative models. He earned his PhD from the Technical University of Munich (TUM), where his work focused on innovative approaches to monocular 3D reconstruction and scene understanding. At NVIDIA, he contributes to cutting-edge research and development, pushing the boundaries of AI and its applications, particularly in areas that leverage deep learning for visual data. His expertise spans from fundamental research to the practical application of AI technologies, aiming to create more intelligent and interactive systems.
Professional Summary
Matthias Hilpert's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Significant Contributions to 3D Computer Vision
Authored and co-authored influential research papers published in top-tier computer vision and machine learning conferences (e.g., CVPR, ICCV, ECCV, NeurIPS) on topics such as monocular depth estimation, 3D reconstruction, neural radiance fields (NeRFs), and generative AI for visual content.
Doctoral Research Excellence at TUM
Completed a highly-regarded PhD at the Technical University of Munich, focusing on advancing monocular 3D reconstruction techniques, which contributed valuable insights and methodologies to the field of computer vision.
Innovation in Deep Learning at NVIDIA
As a Senior Deep Learning Scientist at NVIDIA, he is involved in developing and applying novel deep learning models and algorithms to solve complex problems, likely contributing to NVIDIA's platforms and research in areas like generative AI, autonomous systems, or advanced graphics.
Advancements in Neural Rendering
Contributed to the rapidly evolving field of neural rendering, exploring and developing techniques that use neural networks to synthesize photorealistic images and 3D scenes from various inputs.
Educational Background
Diplom Kaufmann (MBA equivalent), Business Administration
Ludwig-Maximilians-Universität München - Year 1997
BA, Philosophy & Business Administration
The University of Edinburgh - Year 1996
Vordiplom, Business Administration
FAU Erlangen-Nürnberg - Year 1994
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Company Overview
MH2 CapitalMH2 Capital is a thesis-driven venture capital firm focused on early-stage (Seed and Series A) investments in deep tech companies. They target innovations at the intersection of material science, advanced manufacturing, and data analytics, aiming to unlock transformative potential across various major industries such as climate tech, energy, mobility, and industrial automation.
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