Magazine: Winter 2024 | Volume 31, No. 2
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COLUMN: User Account
The Heidelberg Laureate Forum: Where Young Minds Meet Legends
By Letitia Parcalabescu
SECTION: Features
Looking at Data: Crossing Disciplinary Boundaries in Image Research
Black hole images provide new opportunities for interdisciplinary inquiry into the relationship between pictures and knowledge.
By Colleen O'Reilly
OPEN ACCESS
Learning from Nature's Cameras: Bio-Inspired Computational Imaging
For the past half-billion years, evolution has produced a diversity of eyes and brains that work together to solve visual problems with remarkable efficiency and robustness. By reverse-engineering these systems, we can uncover powerful principles to build the next generation of computational cameras.
By Emma Alexander
OPEN ACCESS
Seeing Beyond the Blur with Generative AI
Can AI hallucinations be responsibly harnessed for scientific imaging?
By Berthy Feng, Katherine L. Bouman
OPEN ACCESS
Generative AI for Solving Inverse Problems in Computational Imaging
Generative AI offers great promise for effectively solving challenging ill-posed inverse problems, transforming the way we measure and infer the physical world around us, and enabling exciting new user-centric capabilities.
By Elias Nehme, Tomer Michaeli
OPEN ACCESS
Quanta Computer Vision
Light impinges on a camera's sensor as a collection of discrete quantized elements, or photons. An emerging class of devices, called single-photon sensors, offers the unique capability of detecting individual photons with high-timing precision. With the increasing accessibility of high-resolution single-photon sensors, we can now explore what computer vision would look like if we could operate on light, one photon at a time.
By Varun Sundar, Mohit Gupta
OPEN ACCESS
The Inverse Problems You Carry in Your Pocket
In the spaces between data-hungry generative models and measurement-rich computational imaging, we can find the field of computational photography. Can cell phone cameras be an accessible and affordable bridge between modern computer vision and traditional inverse imaging problems?
By Ilya Chugunov
Shady Science: The Role of Shadows in Non-Line-of-Sight Imaging
What secrets do shadows hold? Perhaps more than you might expect. They can help us see around obstacles, brightening the future of autonomous driving safety and other technologies.
By Charles Saunders
DEPARTMENT: Labz
Human-Centered, Self-Improving Websites: Big Lab, Carnegie Mellon University
By Chaehyeon (Chae) Kim
DEPARTMENT: Hello World
Leveraging Large Language Models for Automated Program Repair in Programming Education
By Pavithra Sripathanallur Murali