1 citations · 1 across the 5 of their papers we have counts for
5 papers
Sub-Pixel Electron Beam Alignment for Machine Learning Characterization of Hybrid Pixel Detectors
Emiliya Poghosyan, Xiangyu Xie, Joakim Reuteler +6
Due to their radiation hardness, kilohertz frame rates, and high dynamic range, hybrid pixel detectors have recently expanded their application range to electron diffraction and re…
AMBER: Algorithm for Multiplexing spectrometer Background Estimation with Rotation-independence
Jakob Lass, Victor Cohen, Benjamín Béjar Haro +1
State-of-the art neutron spectrometers enable simultaneous measurements of high-dimensional datasets, allowing for a large collection rate of dynamic material properties. In this p…
Cross-Channel Unlabeled Sensing over a Union of Signal Subspaces
Taulant Koka, Manolis C. Tsakiris, Benjamín Béjar Haro +1
Cross-channel unlabeled sensing addresses the problem of recovering a multi-channel signal from measurements that were shuffled across channels. This work expands the cross-channel…
Shuffled Multi-Channel Sparse Signal Recovery
Taulant Koka, Manolis C. Tsakiris, Michael Muma +1
Mismatches between samples and their respective channel or target commonly arise in several real-world applications. For instance, whole-brain calcium imaging of freely moving orga…
Representation Learning on Visual-Symbolic Graphs for Video Understanding
Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal
Events in natural videos typically arise from spatio-temporal interactions between actors and objects and involve multiple co-occurring activities and object classes. To capture th…