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User-Centered Design of Immersive Research Applications for Understanding Wri...
Writing is an essential cultural technique that shaped our world's societies and is an important cultural heritage. The Cluster of Excellence 'Understanding Written... -
Attribute or Abstain: Large Language Models as Long Document Assistants
This folder contains data to run experiments on LAB, the Long document Attribution Benchmark introduced in "Attribute or Abstain: Large Language Models as Long Document... -
Geovisuelle Ansätze zur Analyse von Raum-Zeit-Zusammenhängen in urbanen Anwen...
Bei diesem Datensatz handelt es sich um die ergänzenden, qualitativen und quantitativen Forschungsdaten der Dissertation „Geovisuelle Ansätze zur Analyse von... -
Real-world misleading visualizations QA dataset
The real-world misleading visualization QA dataset accompanies the paper "'Protecting multimodal large language models againts misleading visualizations". The dataset contains... -
NLPEER: A Unified Resource for the Computational Study of Peer Review
Dataset of peer review reports and paper drafts from diverse domains and venues. We provide multiple versions of the dataset; when in doubt, download the newest version. You can... -
Measurement series of smartphone experiments for recognizing AR markers in th...
In December 2024, experiments were carried out in the Mont Terri underground laboratory in Switzerland as part of the Master's thesis by Ole Woock. The experiments aimed to... -
Scene-Centric Unsupervised Panoptic Segmentation
Unsupervised panoptic segmentation aims to partition an image into semantically meaningful regions and distinct object instances without training on manually annotated data. In... -
ARR Data Collection Initiative 2024
Dataset of peer review reports, meta-reviews, reviewer-author discussions, and paper drafts collected from ACL Rolling Review within the context of the new data collection... -
NLPEERv2: A Unified Resource for the Computational Study of Peer Review
Dataset of peer review reports and paper drafts from diverse domains and venues. It extends the previous dataset NLPEER to version 2. We provide all sub-versions of the dataset... -
Content-Adaptive Downsampling in Convolutional Neural Networks
Many convolutional neural networks (CNNs) rely on progressive downsampling of their feature maps to increase the network's receptive field and decrease computational cost.... -
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ...
Omnidirectional depth perception is essential for mobile robotics applications that require scene understanding across a full 360° field of view. Camera-based setups offer a... -
Immersive City Scripts – Virtual Theatre of Miletus - 3D Reconstruction First...
3D mesh in .fbx format, no textures. Reconstruction of the former First Roman Stage building (1st century CE) of the Ancient Theatre of Miletus. ... -
FEDI v2 Dataset
FEDI is the first task-oriented document-grounded dialogue dataset for learning from demographic information, user emotions and implicit user feedback. FEDI v2 improves the... -
Benchmarking the Attribution Quality of Vision Models
Attribution maps are one of the most established tools to explain the functioning of computer vision models. They assign importance scores to input features, indicating how... -
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.,...
