131 citations · 648 across the 42 of their papers we have counts for
9 papers · 1 filter
CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy
Yiran Sun, Tucker Netherton, Laurence Court +2
CT scans are the standard-of-care for many clinical ailments, and are needed for treatments like external beam radiotherapy. Unfortunately, CT scanners are rare in low and mid-reso…
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
Siddharth Somasundaram, Akshat Dave, Connor Henley +2
The goal of non-line-of-sight (NLOS) imaging is to image objects occluded from the camera's field of view using multiply scattered light. Recent works have demonstrated the feasibi…
PSF: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing
Bhargav Ghanekar, Vishwanath Saragadam, Dushyant Mehra +3
We propose a compact snapshot monocular depth estimation technique that relies on an engineered point spread function (PSF). Traditional approaches used in microscopic super-resolu…
Thermal Image Processing via Physics-Inspired Deep Networks
Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan +1
We introduce DeepIR, a new thermal image processing framework that combines physically accurate sensor modeling with deep network-based image representation. Our key enabling obser…
High Resolution, Deep Imaging Using Confocal Time-of-flight Diffuse Optical Tomography
Yongyi Zhao, Ankit Raghuram, Hyun K. Kim +3
Light scattering by tissue severely limits how deep beneath the surface one can image, and the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT)…
SASSI -- Super-Pixelated Adaptive Spatio-Spectral Imaging
Vishwanath Saragadam, Michael DeZeeuw, Richard Baraniuk +2
We introduce a novel video-rate hyperspectral imager with high spatial, and temporal resolutions. Our key hypothesis is that spectral profiles of pixels in a super-pixel of an over…
How to Train Neural Networks for Flare Removal
Yicheng Wu, Qiurui He, Tianfan Xue +4
When a camera is pointed at a strong light source, the resulting photograph may contain lens flare artifacts. Flares appear in a wide variety of patterns (halos, streaks, color ble…
FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements
Salman S. Khan, Varun Sundar, Vivek Boominathan +2
Lensless imaging has emerged as a potential solution towards realizing ultra-miniature cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the len…
The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention
Ewa Nowara, Daniel McDuff, Ashok Veeraraghavan
Attention is a powerful concept in computer vision. End-to-end networks that learn to focus selectively on regions of an image or video often perform strongly. However, other image…