2 citations · 3 across the 10 of their papers we have counts for
12 papers · 1 filter
DRetHTR: Linear-Time Decoder-Only Retentive Network for Handwritten Text Recognition
Changhun Kim, Martin Mayr, Thomas Gorges +4
State-of-the-art handwritten text recognition (HTR) systems commonly use Transformers, whose growing key-value (KV) cache makes decoding slow and memory-intensive. We introduce DRe…
Few-Shot Domain Adaptation with Temporal References and Static Priors for Glacier Calving Front Delineation
Marcel Dreier, Nora Gourmelon, Dakota Pyles +4
During benchmarking, the state-of-the-art model for glacier calving front delineation achieves near-human performance. However, when applied in a real-world setting at a novel stud…
Coarse-to-Fine Non-rigid Multi-modal Image Registration for Historical Panel Paintings based on Crack Structures
Aline Sindel, Andreas Maier, Vincent Christlein
Art technological investigations of historical panel paintings rely on acquiring multi-modal image data, including visual light photography, infrared reflectography, ultraviolet fl…
Multi-temporal Calving Front Segmentation
Marcel Dreier, Nora Gourmelon, Dakota Pyles +5
The calving fronts of marine-terminating glaciers undergo constant changes. These changes significantly affect the glacier's mass and dynamics, demanding continuous monitoring. To…
Data Augmentation via Latent Diffusion Models for Detecting Smell-Related Objects in Historical Artworks
Ahmed Sheta, Mathias Zinnen, Aline Sindel +2
Finding smell references in historic artworks is a challenging problem. Beyond artwork-specific challenges such as stylistic variations, their recognition demands exceptionally det…
Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning
Nora Gourmelon, Konrad Heidler, Erik Loebel +12
Continuous monitoring of glacier calving fronts is essential for sea level rise projections. This study benchmarks Deep Learning systems for front delineation in Synthetic Aperture…