6 papers
Few-Shot Connectivity-Aware Text Line Segmentation in Historical Documents
Rafael Sterzinger, Tingyu Lin, Robert Sablatnig
A foundational task for the digital analysis of documents is text line segmentation. However, automating this process with deep learning models is challenging because it requires l…
Few-Shot Segmentation of Historical Maps via Linear Probing of Vision Foundation Models
Rafael Sterzinger, Marco Peer, Robert Sablatnig
As rich sources of history, maps provide crucial insights into historical changes, yet their diverse visual representations and limited annotated data pose significant challenges f…
Through-Wall Imaging based on WiFi Channel State Information
Julian Strohmayer, Rafael Sterzinger, Christian Stippel +1
This work presents a seminal approach for synthesizing images from WiFi Channel State Information (CSI) in through-wall scenarios. Leveraging the strengths of WiFi, such as cost-ef…
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
Julian Strohmayer, Rafael Sterzinger, Matthias Wödlinger +1
Cross-domain generalization is an open problem in WiFi-based sensing due to variations in environments, devices, and subjects, causing domain shifts in channel state information. T…
Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks
Rafael Sterzinger, Christian Stippel, Robert Sablatnig
Etruscan mirrors constitute a significant category in Etruscan art, characterized by elaborate figurative illustrations featured on their backside. A laborious and costly aspect of…
Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors
Rafael Sterzinger, Simon Brenner, Robert Sablatnig
Etruscan mirrors constitute a significant category within Etruscan art and, therefore, undergo systematic examinations to obtain insights into ancient times. A crucial aspect of th…