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Generative Inpainting for Palimpsests: Background and Results
“Generative Inpainting for Palimpsests: Background and Results”, Manuscript Cultures in the Caucasus, Hamburg. The research for this presentation was funded by the... -
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
Unsupervised semantic segmentation aims to automatically partition images into semantically meaningful regions by identifying global semantic categories within an image corpus... -
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
The lack of out-of-domain generalization is a critical weakness of deep networks for semantic segmentation. Previous studies relied on the assumption of a static model, i. e.,... -
MassiveFold data for target T1246
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1266
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1284
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1243
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1298 - T309
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1292
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1272 (subunits)
MassiveFold data generated for CASP16, in collaboration with CAPRI . Predictions were only generated for the subunits. 8040 predictions were generated for each subunit = 1005... -
MassiveFold data for target T1259 - T298
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1280
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1294v1 and T1294v2
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated in total for both T1294v1 and T1294v2 targets = 1005 x 8 sets of... -
MassiveFold data for target T1279
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur...
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur roboterbasierten Handhabung von verzweigten Leitungssätzen. In den Daten sind Rohdaten mit... -
SalChartQA: Question-driven Saliency on Information Visualisations (Dataset a...
Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Data for: "Scanpath Prediction on Information Visualizations"
We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Data for "VisRecall: Quantifying Information Visualisation Recallability via ...
Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied...