Eurographics Partner Events: Recent submissions

Now showing items 281-300 of 2371

    • Spectral Upsampling Approaches for RGB Illumination 

      Guarnera, Giuseppe Claudio; Gitlina, Yuliya; Deschaintre, Valentin; Ghosh, Abhijeet (The Eurographics Association, 2022)
      We present two practical approaches for high fidelity spectral upsampling of previously recorded RGB illumination in the form of an image-based representation such as an RGB light probe. Unlike previous approaches that ...

    • Rendering 2022 Symposium Track: Frontmatter 

      Ghosh, Abhijeet; Wei, Li-Yi (The Eurographics Association, 2022)

    • Vessel Maps: A Survey of Map-Like Visualizations of the Cardiovascular System 

      Eulzer, Pepe; Meuschke, Monique; Mistelbauer, Gabriel; Lawonn, Kai (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Map-like visualizations of patient-specific cardiovascular structures have been applied in numerous medical application contexts. The term map-like alludes to the characteristics these depictions share with cartographic ...

    • Trends & Opportunities in Visualization for Physiology: A Multiscale Overview 

      Garrison, Laura A.; Kolesar, Ivan; Viola, Ivan; Hauser, Helwig; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Combining elements of biology, chemistry, physics, and medicine, the science of human physiology is complex and multifaceted. In this report, we offer a broad and multiscale perspective on key developments and challenges ...

    • A Survey of Visualization and Analysis in High-Resolution Connectomics 

      Beyer, Johanna; Troidl, Jakob; Boorboor, Saeed; Hadwiger, Markus; Kaufman, Arie; Pfister, Hanspeter (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The field of connectomics aims to reconstruct the wiring diagram of neurons and synapses to enable new insights into the workings of the brain. Reconstructing and analyzing the neuronal connectivity, however, relies on ...

    • EuroVis 2022 CGF 41-3 STARs: Frontmatter 

      Bruckner, Stefan; Turkay, Cagatay; Vrotsou, Katerina (The Eurographics Association and John Wiley & Sons Ltd., 2022)

    • Chart Question Answering: State of the Art and Future Directions 

      Hoque, Enamul; Kavehzadeh, Parsa; Masry, Ahmed (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Information visualizations such as bar charts and line charts are very common for analyzing data and discovering critical insights. Often people analyze charts to answer questions that they have in mind. Answering such ...

    • Application-oriented Analysis of Material Interface Reconstruction Algorithms in Time-varying Bijel Simulations 

      Bao, Xueyi; Karthikeyan, Nikhil; Schiller, Ulf D.; Iuricich, Federico (The Eurographics Association, 2022)
      Multimaterial interface reconstruction has been investigated over the years both from visualization and analytical point of view using different metrics. When focusing on visualization, interface continuity and smoothness ...

    • CellTrackVis: Analyzing the Performance of Cell Tracking Algorithms 

      Li, Weimin; Zhang, Xiang; Stern, Alan; Birtwistle, Marc; Iuricich, Federico (The Eurographics Association, 2022)
      Live-cell imaging is a common data acquisition technique used by biologists to analyze cell behavior. Since manually tracking cells in a video sequence is extremely time-consuming, many automatic algorithms have been ...

    • A Design Study of Visualizing Historical Book Movement 

      Xing, Yiwen; Dondi, Cristina; Borgo, Rita; Abdul-Rahman, Alfie (The Eurographics Association, 2022)
      Trading of 15th-century books is an area of great interest to historians. In this paper, we document the process behind an intensive design study and close collaboration with a domain expert on understanding crucial ...

    • DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation 

      Kwon, Bum Chul; Lee, Jungsoo; Chung, Chaeyeon; Lee, Nyoungwoo; Choi, Ho-Jin; Choo, Jaegul (The Eurographics Association, 2022)
      Image classification models often learn to predict a class based on irrelevant co-occurrences between input features and an output class in training data. We call the unwanted correlations ''data biases,'' and the visual ...

    • Visualization of Tonal Harmony for Jazz Lead Sheets 

      Bunks, Carey; Weyde, Tillman; Slingsby, Aidan; Wood, Jo (The Eurographics Association, 2022)
      Jazz improvisation is the extemporaneous expression of melody, and musicians commonly base their performances on chord progressions given by lead sheets. It is standard practice to commit a progression to memory by analyzing ...

    • Visual Evaluation of Translation Alignment Data 

      Yousef, Tariq; Jänicke, Stefan (The Eurographics Association, 2022)
      Translation alignment plays a crucial role in various applications in natural language processing and digital humanities. With the recent advance in neural machine translation and contextualized language models, numerous ...

    • Data+Shift: Supporting Visual Investigation of Data Distribution Shifts by Data Scientists 

      Palmeiro, João; Malveiro, Beatriz; Costa, Rita; Polido, David; Moreira, Ricardo; Bizarro, Pedro (The Eurographics Association, 2022)
      Machine learning on data streams is increasingly more present in multiple domains. However, there is often data distribution shift that can lead machine learning models to make incorrect decisions. While there are automatic ...

    • Explaining Black Box with Visual Exploration of Latent Space 

      Bodria, Francesco; Rinzivillo, Salvatore; Fadda, Daniele; Guidotti, Riccardo; Giannotti, Fosca; Pedreschi, Dino (The Eurographics Association, 2022)
      Autoencoders are a powerful yet opaque feature reduction technique, on top of which we propose a novel way for the joint visual exploration of both latent and real space. By interactively exploiting the mapping between ...

    • Towards Multimodal Exploratory Data Analysis: SoniScope as a Prototypical Implementation 

      Enge, Kajetan; Rind, Alexander; Iber, Michael; Höldrich, Robert; Aigner, Wolfgang (The Eurographics Association, 2022)
      The metaphor of auscultating with a stethoscope can be an inspiration to combine visualization and sonification for exploratory data analysis. This paper presents SoniScope, a multimodal approach and its prototypical ...

    • GROUPSET: A Set-Based Technique to Explore Time-Varying Data 

      Liu, Liqun; Vuillemot, Romain (The Eurographics Association, 2022)
      We introduce GroupSet, a technique to facilitate the exploration of temporal charts using a set-based approach. GroupSet operates in a twofold way: first it classifies temporal data into categories (sets) for each time ...

    • Blocks: Creating Rich Tables with Drag-and-Drop Interaction 

      Whilden, Allison; Karis, Dirk; Setlur, Vidya; Degtyar, Rodion; Que, Jonathan; Lymperopoulos, Filippos (The Eurographics Association, 2022)
      We present Blocks, a formalism that enables the building of visualizations by specifying layout, data relationships, and level of detail (LOD) for specific portions of the visualization. Users can create and manipulate ...

    • DSS: Drawing Dynamic Graphs with Spectral Sparsification 

      Meidiana, Amyra; Hong, Seok-Hee; Pu, Yanyi; Lee, Justin; Eades, Peter; Seo, Jinwook (The Eurographics Association, 2022)
      This paper presents DSS (Dynamic Spectral Sparsification), a sampling approach for drawing large and complex dynamic graphs which can preserve important structural properties of the original graph. Specifically, we present ...

    • Augmented Intelligence with Interactive Voronoi Treemap for Scalable Grouping: a Usage Scenario with Wearable Data 

      Abuthawabeh, Ala; Baggag, Abdelkader; Aupetit, Michael (The Eurographics Association, 2022)
      Interactive Voronoi Treemaps have been proposed to support arrangement and grouping tasks of data with snippet image representations. They rely on time-consuming manual actions to group data and cannot display more than a ...