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Software and Data for: Interactive delineation and quantification of anatomic...
This dataset contains the supplemental materials, the used tools, and the release of the software presented in the paper Interactive delineation and quantification of anatomical... -
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.,... -
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... -
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... -
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. ... -
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... -
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.... -
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... -
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... -
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... -
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... -
Runtime performance measurements of interactive visualisation algorithms
Runtime performance measurements for GPU-based direct volume rendering and GPU-based raycasting of spherical particles on ten different discrete graphics processing units from... -
Code for Caption Crowd (IKILeUS)
CaptionCrowd is an interactive platform developed within the IKILeUS project at the University of Stuttgart to improve video caption accuracy for the Deaf and Hard of Hearing... -
OncoTUM models
OncoTUM models <p> This repository hosts pretrained neural network models for <a href="https://github.com/masud-src/OncoTUM" target="_blank">OncoTUM</a>,... -
Dynamics of Head Pointing Using Static and Dynamic Gains
Data was acquired from experiments of the master's thesis "Exploring the dynamics of the head pointing." There were two studies: preliminary and the main study. The task of... -
Supplemental Material for: Testing the Test: Observations When Assessing Visu...
These documents contain supplemental material for the paper "Testing the Test: Observations When Assessing Visualization Literacy of Domain Experts" which was conditionally... -
Supplementary Material for Uncertainty-aware Spectral Visualization
In this supplemental material, we provide supplemental information (PDF document with derivations of the results presented in the paper and two additional use cases) and the... -
Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data...
This dataset contains the supplemental material for "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions". The contents and usage of this dataset... -
VQA-MHUG
We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA), collected using a high-speed... -
Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences ...
Supplemental Material for the paper titled: " Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR" accepted for...