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Dr. Runbo Li is a distinguished Senior Research Scientist at NVIDIA, specializing in computer vision, deep learning, and generative models. His research focuses on 3D reconstruction, neural rendering, image synthesis, and understanding, with significant contributions to Neural Radiance Fields (NeRFs) and their applications. Prior to NVIDIA, he completed his Ph.D. at the University of California, San Diego, where his work already indicated a strong trajectory in computer vision research. He is known for his influential publications in top-tier conferences like CVPR, ICCV, ECCV, and NeurIPS, and his work often pushes the boundaries of realistic and efficient 3D scene representation and generation.
Runbo Li's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-authored the highly influential paper 'Instant Neural Graphics Primitives with a Multiresolution Hash Encoding,' which significantly accelerated the training and rendering speed of Neural Radiance Fields (NeRFs), making high-quality 3D scene reconstruction more accessible and practical. This work received widespread acclaim and adoption in both academia and industry.
Authored and co-authored numerous research papers accepted at premier computer vision and machine learning conferences, including CVPR (Computer Vision and Pattern Recognition), ICCV (International Conference on Computer Vision), ECCV (European Conference on Computer Vision), and NeurIPS (Neural Information Processing Systems), demonstrating a consistent output of high-impact research.
Made significant research contributions to 3D generative models, neural rendering techniques, and controllable image synthesis, enabling more realistic and manipulable digital representations of the world. His work explores areas like semantic understanding in 3D scenes and efficient neural representations.
As a Senior Research Scientist at NVIDIA, he plays a key role in pioneering new AI technologies for graphics, simulation, and content creation, contributing to NVIDIA's leadership in AI and visual computing.
Y Combinator
University of Toronto - Year 2015
Penn State University - Year 2011
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