Collabrative sparse image fusion with application to pan-sharpening. - Xiaoxiang Zhu 001; Claas Grohnfeldt; Richard Bamler (DSP, 2013)

Jointly sparse fusion of hyperspectral and multispectral imagery. - Claas Grohnfeldt; Xiaoxiang Zhu 001; Richard Bamler (IGARSS, 2013)

Collaborative sparse reconstruction for pan-sharpening. - Xiaoxiang Zhu 001; Claas Grohnfeldt; Richard Bamler (IGARSS, 2013)

The J-SparseFI-HM Hyperspectral resolution enhancement method - Now fully automated. - Claas Grohnfeldt; Xiao Xiang Zhu 001; Richard Bamler (WHISPERS, 2014)

Towards a combined sparse representation and unmixing based hybrid hyperspectral resolution enhancement method. - Claas Grohnfeldt; Xiaoxiang Zhu 001 (IGARSS, 2015)

Dynamic dictionary learning strategies for sparse representation based hyperspectral image enhancement. - Claas Grohnfeldt; Tristan Michael Burns; Xiao Xiang Zhu 001 (WHISPERS, 2015)

Splitting the hyperspectral-multispectral image fusion problem autonomously into weighted pan-sharpening tasks - The spectral grouping concept. - Claas Grohnfeldt; Xiao Xiang Zhu 001; Richard Bamler (WHISPERS, 2015)

Exploiting Joint Sparsity for Pansharpening: The J-SparseFI Algorithm. - Xiaoxiang Zhu 001; Claas Grohnfeldt; Richard Bamler (IEEE Trans. Geosci. Remote. Sens., 2016)

A Conditional Generative Adversarial Network to Fuse Sar And Multispectral Optical Data For Cloud Removal From Sentinel-2 Images. - Claas Grohnfeldt; Michael Schmitt 003; Xiaoxiang Zhu 001 (IGARSS, 2018)

Analog Image Modeling for 3D Single Image Super Resolution and Pansharpening. - Richard Lartey; Weihong Guo 002; Xiaoxiang Zhu 001; Claas Grohnfeldt (Frontiers Appl. Math. Stat., 2020)

Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments at Scale. - Markus Sosnowski; Johannes Zirngibl; Patrick Sattler; Georg Carle; Claas Grohnfeldt; Michele Russo; Daniele Sgandurra (TMA, 2022)

2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance. - Andrea Cavallo; Claas Grohnfeldt; Michele Russo; Giulio Lovisotto; Luca Vassio (CoRR, 2022)

OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning. - Jiawen Xu 001; Claas Grohnfeldt; Odej Kao (ICCV (Workshops), 2023)

Continuous-Time Temporal Graph Learning on Provenance Graphs. - Jakub Reha; Giulio Lovisotto; Michele Russo; Alessio Gravina; Claas Grohnfeldt (ICDM (Workshops), 2023)

GCNH: A Simple Method For Representation Learning On Heterophilous Graphs. - Andrea Cavallo; Claas Grohnfeldt; Michele Russo; Giulio Lovisotto; Luca Vassio (IJCNN, 2023)

Long Range Propagation on Continuous-Time Dynamic Graphs. - Alessio Gravina; Giulio Lovisotto; Claudio Gallicchio; Davide Bacciu; Claas Grohnfeldt (ICML, 2024)

Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs. - Tim Postuvan; Claas Grohnfeldt; Michele Russo; Giulio Lovisotto (Trans. Mach. Learn. Res., 2024)

EFACTLS: Effective Active TLS Fingerprinting for Large-Scale Server Deployment Characterization. - Markus Sosnowski; Johannes Zirngibl; Patrick Sattler; Georg Carle; Claas Grohnfeldt; Michele Russo; Daniele Sgandurra (IEEE Trans. Netw. Serv. Manag., 2024)