activity
20112026
most citedReconstruction of hidden 3D shapes using diffuse reflections

131 citations · 648 across the 42 of their papers we have counts for

collaborators

46 papers

cs.CV2026

LFD: Enabling Real-World Lensless Face Recognition with a Large-Scale Dataset

Junho Kim, Salman S. Khan, Sara Wan +2

Face recognition is a ubiquitously used computer vision task that has a wide range of applications ranging from everyday smartphone biometrics to high-stakes security systems. Most…

eess.IV2023★ 1 cited

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…

cs.CV2023★ 1 cited

NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigation

Weiyun Jiang, Yuhao Liu, Vivek Boominathan +1

The atmospheric and water turbulence mitigation problems have emerged as challenging inverse problems in computer vision and optics communities over the years. However, current met…

physics.optics2023

Broadband Thermal Imaging using Meta-Optics

Luocheng Huang, Zheyi Han, Anna Wirth-Singh +13

Subwavelength diffractive optics known as meta-optics have demonstrated the potential to significantly miniaturize imaging systems. However, despite impressive demonstrations, most…

eess.IV2023

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…

cs.CV2023

Thermal Spread Functions (TSF): Physics-guided Material Classification

Aniket Dashpute, Vishwanath Saragadam, Emma Alexander +4

Robust and non-destructive material classification is a challenging but crucial first-step in numerous vision applications. We propose a physics-guided material classification fram…