850 citations · 2.5k across the 63 of their papers we have counts for
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Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition
Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman +1
Capturing images is a key part of automation for high-level tasks such as scene text recognition. Low-light conditions pose a challenge for high-level perception stacks, which are…
Learning Spatially Varying Pixel Exposures for Motion Deblurring
Cindy M. Nguyen, Julien N. P. Martel, Gordon Wetzstein
Computationally removing the motion blur introduced by camera shake or object motion in a captured image remains a challenging task in computational photography. Deblurring methods…
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding
Haley M. So, Julien N. P. Martel, Piotr Dudek +1
The ability to image high-dynamic-range (HDR) scenes is crucial in many computer vision applications. The dynamic range of conventional sensors, however, is fundamentally limited b…
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems
Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein +1
Compressive imaging using coded apertures (CA) is a powerful technique that can be used to recover depth, light fields, hyperspectral images and other quantities from a single snap…
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate
Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong +1
Convolutional neural networks (CNN) have emerged as a powerful tool for solving computational imaging reconstruction problems. However, CNNs are generally difficult-to-understand b…
Michelson Holography: Dual-SLM Holography with Camera-in-the-loop Optimization
Suyeon Choi, Jonghyun Kim, Yifan Peng +1
We introduce Michelson Holography (MH), a holographic display technology that optimizes image quality for emerging holographic near-eye displays. Using two spatial light modulators…