90 citations · 136 across the 25 of their papers we have counts for
27 papers
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…
Gesture Classification in Artworks Using Contextual Image Features
Azhar Hussian, Mathias Zinnen, Thi My Hang Tran +2
Recognizing gestures in artworks can add a valuable dimension to art understanding and help to acknowledge the role of the sense of smell in cultural heritage. We propose a method…
Nuremberg Letterbooks: A Multi-Transcriptional Dataset of Early 15th Century Manuscripts for Document Analysis
Martin Mayr, Julian Krenz, Katharina Neumeier +8
Most datasets in the field of document analysis utilize highly standardized labels, which, while simplifying specific tasks, often produce outputs that are not directly applicable…
Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models
Martin Mayr, Marcel Dreier, Florian Kordon +5
The imitation of cursive handwriting is mainly limited to generating handwritten words or lines. Multiple synthetic outputs must be stitched together to create paragraphs or whole…
Novel Artistic Scene-Centric Datasets for Effective Transfer Learning in Fragrant Spaces
Shumei Liu, Haiting Huang, Mathias Zinnen +2
Olfaction, often overlooked in cultural heritage studies, holds profound significance in shaping human experiences and identities. Examining historical depictions of olfactory scen…
Smell and Emotion: Recognising emotions in smell-related artworks
Vishal Patoliya, Mathias Zinnen, Andreas Maier +1
Emotions and smell are underrepresented in digital art history. In this exploratory work, we show that recognising emotions from smell-related artworks is technically feasible but…
ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings
Alexander Schmidt, Prathmesh Madhu, Andreas Maier +2
Image enhancement algorithms are very useful for real world computer vision tasks where image resolution is often physically limited by the sensor size. While state-of-the-art deep…
A Vessel-Segmentation-Based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis
Aline Sindel, Andreas Maier, Vincent Christlein
Unpaired image-to-image translation of retinal images can efficiently increase the training dataset for deep-learning-based multi-modal retinal registration methods. Our method int…
AMD-HookNet for Glacier Front Segmentation
Fei Wu, Nora Gourmelon, Thorsten Seehaus +4
Knowledge on changes in glacier calving front positions is important for assessing the status of glaciers. Remote sensing imagery provides the ideal database for monitoring calving…
Transfer Learning for Olfactory Object Detection
Mathias Zinnen, Prathmesh Madhu, Peter Bell +2
We investigate the effect of style and category similarity in multiple datasets used for object detection pretraining. We find that including an additional stage of object-detectio…
ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition
Mathias Zinnen, Prathmesh Madhu, Ronak Kosti +3
The Odeuropa Challenge on Olfactory Object Recognition aims to foster the development of object detection in the visual arts and to promote an olfactory perspective on digital heri…
ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
Aline Sindel, Andreas Maier, Vincent Christlein
Facial landmark detection plays an important role for the similarity analysis in artworks to compare portraits of the same or similar artists. With facial landmarks, portraits of d…
A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet
Aline Sindel, Andreas Maier, Vincent Christlein
For art investigations of paintings, multiple imaging technologies, such as visual light photography, infrared reflectography, ultraviolet fluorescence photography, and x-radiograp…
Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network
Aline Sindel, Bettina Hohberger, Andreas Maier +1
In ophthalmological imaging, multiple imaging systems, such as color fundus, infrared, fluorescein angiography, optical coherence tomography (OCT) or OCT angiography, are often inv…
ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas
Prathmesh Madhu, Tilman Marquart, Ronak Kosti +4
Image compositions are helpful in the study of image structures and assist in discovering the semantics of the underlying scene portrayed across art forms and styles. With the digi…
SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks
Aline Sindel, Abner Hernandez, Seung Hee Yang +2
With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming. Therefore, automatic slide extraction from t…
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration
Aline Sindel, Bettina Hohberger, Sebastian Fassihi Dehcordi +4
Ophthalmological imaging utilizes different imaging systems, such as color fundus, infrared, fluorescein angiography, optical coherence tomography (OCT) or OCT angiography. Multipl…
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz +5
Increasing deployment of photovoltaic (PV) plants requires methods for automatic detection of faulty PV modules in modalities, such as infrared (IR) images. Recently, deep learning…
First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain
Sonja Kunzmann, Christian Marzahl, Felix Denzinger +5
Annotating data, especially in the medical domain, requires expert knowledge and a lot of effort. This limits the amount and/or usefulness of available medical data sets for experi…