Jingming Li
San Francisco Bay Area,United States
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Dr. Jingming Li is a distinguished research scientist specializing in artificial intelligence, with a primary focus on deep learning, computer vision, robotics, and generative AI. He is currently a Senior Research Scientist at NVIDIA. Prior to NVIDIA, he made significant contributions at Google Research (working on projects related to Waymo's autonomous driving technology) and pursued his doctoral studies at Stanford University. His work often involves developing cutting-edge algorithms for 3D scene understanding, neural rendering, and efficient AI models, aiming to enable more intelligent and interactive systems. He is recognized for his publications in top-tier conferences and his impact on both academic research and industrial applications of AI.
Professional Summary
Jingming Li's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Pioneering Research in 3D Computer Vision and Generative Models
Authored and co-authored numerous highly-cited papers in premier AI conferences such as CVPR, NeurIPS, ECCV, and ICRA. His research has significantly advanced the state-of-the-art in areas like neural radiance fields (NeRF), 3D reconstruction, view synthesis, and generative adversarial networks for realistic image and scene generation.
Key Contributions to Perception Systems for Autonomous Driving
During his tenure at Google and his current role at NVIDIA, he has been instrumental in developing and enhancing perception algorithms for autonomous vehicles. This includes work on robust object detection, semantic segmentation, sensor fusion, and world modeling, critical for safe and reliable self-driving technology.
PhD in Computer Science from Stanford University
Completed his doctoral research at Stanford University, focusing on machine learning and computer vision, particularly for robotic perception and interaction. His dissertation and related publications laid a strong theoretical and practical foundation for his subsequent impactful work in the industry.
Development of Novel Neural Rendering Techniques
Contributed to the development and popularization of neural rendering techniques, enabling photorealistic rendering of complex scenes from novel viewpoints using learned models, with applications in virtual reality, augmented reality, and content creation.
Educational Background
Master of Engineering, Aerospace
Carleton University
Bachelor engineering, Engineering
Beihang University
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Company Overview
Trova Technologies, Inc.Trova Technologies offers a talent intelligence platform that empowers organizations to make data-driven decisions for workforce planning, talent acquisition, and competitive analysis. Their platform provides insights into talent supply and demand, skills availability, compensation benchmarks, and diversity metrics, helping companies optimize their hiring strategies and build stronger teams.
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