activity
20152026
most citedMonte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

204 citations · 703 across the 41 of their papers we have counts for

collaborators
Showing eess.IVShow all

5 papers · 1 filter

eess.IV2023★ 3 cited

Megahertz X-ray Multi-projection imaging

Pablo Villanueva-Perez, Valerio Bellucci, Yuhe Zhang +21

X-ray time-resolved tomography is one of the most popular X-ray techniques to probe dynamics in three dimensions (3D). Recent developments in time-resolved tomography opened the po…

eess.IV2022

Clean Implicit 3D Structure from Noisy 2D STEM Images

Hannah Kniesel, Timo Ropinski, Tim Bergner +5

Scanning Transmission Electron Microscopes (STEMs) acquire 2D images of a 3D sample on the scale of individual cell components. Unfortunately, these 2D images can be too noisy to b…

eess.IV2022

ONIX: an X-ray deep-learning tool for 3D reconstructions from sparse views

Yuhe Zhang, Zisheng Yao, Tobias Ritschel +1

Three-dimensional (3D) X-ray imaging techniques like tomography and confocal microscopy are crucial for academic and industrial applications. These approaches access 3D information…

eess.IV2020★ 4 cited

HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models

Uğur Çoğalan, Mojtaba Bemana, Karol Myszkowski +2

We seek to reconstruct sharp and noise-free high-dynamic range (HDR) video from a dual-exposure sensor that records different low-dynamic range (LDR) information in different pixel…

eess.IV2020★ 86 cited

PhaseGAN: A deep-learning phase-retrieval approach for unpaired datasets

Yuhe Zhang, Mike Andreas Noack, Patrik Vagovic +4

Phase retrieval approaches based on DL provide a framework to obtain phase information from an intensity hologram or diffraction pattern in a robust manner and in real time. Howeve…