2 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity
Akshat Dave, Tianyi Zhang, Aaron Young +3
Photoelasticity enables full-field stress analysis in transparent objects through stress-induced birefringence. Existing techniques are limited to 2D slices and require destructive…
WaveMo: Learning Wavefront Modulations to See Through Scattering
Mingyang Xie, Haiyun Guo, Brandon Y. Feng +3
Imaging through scattering media is a fundamental and pervasive challenge in fields ranging from medical diagnostics to astronomy. A promising strategy to overcome this challenge i…
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem, Akshat Dave, Abhishek Singh +4
Neural radiance fields (NeRFs) show potential for transforming images captured worldwide into immersive 3D visual experiences. However, most of this captured visual data remains si…
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…
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit
Ali Ayremlou, Thomas Goldstein, Ashok Veeraraghavan +1
Sparse approximations using highly over-complete dictionaries is a state-of-the-art tool for many imaging applications including denoising, super-resolution, compressive sensing, l…