90 citations · 136 across the 25 of their papers we have counts for
6 papers · 1 filter
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…