Research Overview


Computational imaging leverages the co-design of optics, sensors, and algorithms to overcome conventional limitations of imaging systems. Whether the camera in your smart phone, self-driving cars, MRI scanners, or even the James Webb Space Telescope, computational imaging systems have dramatically improved our ability to capture, process, and interpret our surroundings.

Our multidisciplinary group has expertise spanning spanning optics, computer vision, graphics, machine learning, optimization, sensors, and hardware design. Together we develop next-generation computational imaging systems for understanding light transport, robust 3D imaging through scattering media, appearance and geometry modeling using neural networks, and efficient sensing via focal-plane computation. Our research is relevant to a broad range of applications including augmented and virtual reality, robotics, autonomous navigation, biomedical imaging, and remote sensing.

Below, we summarize recent research areas of focus with selected representative publications.

Sensor Design

Neural Representations

Non-Line-of-Sight Imaging

Structured Light

Time-of-Flight Imaging

Unconventional Sensing