معرفی
Felix Heide is a Professor of Computer Science at Princeton University, where he leads the Princeton Computational Imaging Lab. He also serves as Head of AI at Torc Robotics, focusing on full autonomy stacks for self-driving trucks. His research sits at the intersection of optics, machine learning, and computer vision, addressing imaging challenges in harsh environments like dense fog, ultra-low/high illumination, and scattering media.
- Ph.D. in Computer Science from the University of British Columbia
- Postdoctoral research at Stanford University
His work on computational imaging spans physics-based vision, non-line-of-sight imaging, end-to-end camera design, and robust sensor fusion. He has pioneered techniques for inverse neural rendering, nanophotonic optics, and light-speed AI through optical computing. His recent papers in Nature Machine Intelligence, Science Advances, and top conferences (SIGGRAPH, CVPR, ICCV) focus on:
- Adverse weather imaging (fog, snow, rain)
- Multi-sensor fusion (LiDAR, radar, gated cameras)
- Light transport through scattering media
- Optical metasurfaces and diffractive optics
- End-to-end optimization of imaging pipelines
- Event-based vision and polarization cues
He has received prestigious awards including the SIGGRAPH Significant New Researcher Award, Sloan Research Fellowship, and Packard Fellowship. His lab's open-source code and datasets enable real-world applications in autonomous driving, microscopy, and augmented reality.
