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Si Lu
Computer Vision Engineer-Automomous Vehicles at NVIDIA. Home page: web.cecs.pdx.edu/~lusi/
Professional Background
Si Lu is an accomplished professional with a wealth of experience in the fields of Computer Vision and Graphics, currently focused on cutting-edge research and development at NVIDIA, where he works on Autonomous Driving (HD mapping and localization) technologies. His extensive background spans over nine years, during which he has contributed significantly to various innovative projects, particularly in the realms of 3D construction, light field VR, and advanced video processing techniques. Si's dedication to developing and implementing state-of-the-art algorithms is matched only by his passion for pushing the boundaries of what is possible in autonomous systems.
Having honed his skills in programming languages including C, C++, Python, Matlab, and OpenCV, Si is a versatile coder with practical knowledge of OpenGL and Pytorch. His expertise extends to machine learning and deep learning methodologies, incorporating sophisticated architectures such as CNN, RNN, LSTM, ResNet, DenseNet, Faster R-CNN, and Mask R-CNN into his work. This diverse skill set allows him to tackle complex challenges in computer vision and graphics, leading to innovative solutions and exceptional outcomes.
Education and Achievements
Si Lu's educational journey is both impressive and multifaceted. He is on the cusp of completing his Doctor of Philosophy (Ph.D.) in Computer Science at Portland State University, boasting a remarkable GPA of 3.92. This achievement represents his commitment to academic excellence and his deep understanding of computer science principles. Prior to this, he earned a Master of Science (MS) in Computer Science at the same institution, further solidifying his foundation in the field.
His academic pursuits began at Tsinghua University, one of the most prestigious universities in China, where he obtained a Master of Science (M.S.) in Fluid Mechanics and a Bachelor's degree in Mechanics. This early focus on mechanics has undoubtedly contributed to his analytical skills and problem-solving capabilities in the areas of computer vision and autonomous driving.
Organizations and Roles
In addition to his current role at NVIDIA as a Computer Vision Engineer working on Autonomous Vehicles, Si has held various notable positions throughout his career. He started as a Graduate Research Assistant at Portland State University, where he gained invaluable research experience and leadership skills. He is also a former Graduate Teaching Assistant (Instructor), a role that allowed him to share his knowledge and insights with students while fostering a collaborative learning environment.
During his academic journey, Si participated in a summer internship at Lytro, where he applied his skills to contribute to real-world projects in light field technology. Additionally, he was the Robocup Team Leader at Tsinghua University, showcasing his ability to lead teams and manage complex projects effectively.
Notable Projects and Contributions
Si's work has led to several innovative contributions in the field of computer vision and graphics. His contributions to 3D construction and enhancement techniques in light field VR have opened new avenues for immersive experiences. He has also developed novel view synthesis methods for camera arrays, providing new frameworks for capturing high-quality images and videos. Furthermore, his work in video stabilization and image stitching highlights his commitment to enhancing visual quality and user experience in visual systems.
In the domain of computational photography, Si has exhibited exceptional insights through projects involving image denoising and patch matching, which are crucial for improving the quality of images captured in various conditions. His knowledge and application of deep learning techniques reflect an acute awareness of current and future trends in artificial intelligence, positioning him as a thought leader in the field.
Conclusion
Si Lu's dedication to advancing the fields of Computer Vision and Graphics, coupled with his academic achievements and practical experience, make him a significant figure in the technology landscape, particularly within the emerging realm of autonomous vehicles. As he prepares to graduate with his Ph.D. and continue his impactful work at NVIDIA, the future looks bright for Si Lu. His ability to innovate and apply sophisticated algorithms will undoubtedly contribute to the evolution of autonomous driving technologies and the broader field of computer science.
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