Aviz is a multidisciplinary team of INRIA and Université Paris-Saclay aiming at improving the analysis and visualization of large and complex datasets by combining analysis methods with interactive visualizations. Learn more...

News

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Our paper on “Point Specification in Collaborative Visualization for 3D Scalar Fields Using Augmented Reality” was accepted to Springer's Virtual Reality journal.

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Our paper on “Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization” was accepted to the journal IEEE Transactions on Visualization and Computer Graphics. We will present this work next year at IEEE VIS 2022.

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At the virtual IEEE VIS 2021, we present three TVCG journal papers, one on VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications, one on Multiscale Unfolding: Illustratively Visualizing the Whole Genome at a Glance, and one on Showing Data about People: A Design Space of Anthropographics. We also contribute another 4 papers submitted to VIS, among them one best paper award for Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization

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Tingying He 何汀滢 starts as a new PhD student with Aviz, exploring a design space for visual data mapping for low-color displays.

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We present our paper on “Document Domain Randomization for Deep Learning Document Layout Extraction” at ICDAR 2021.

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We present our journal article on The State of the Art of Spatial Interfaces for 3D Visualization at EuroVis.

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We present our paper on Design and Evaluation of Three Selection Techniques for Tightly Packed 3D Objects in Cell Lineage Specification in Botany at Graphics Interface.

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We present our paper on Can Anthropographics Promote Prosociality? at CHI 2021.

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🏆 Our ICBC'21 paper on An empirical analysis of pool hopping behavior in the Bitcoin blockchain won the best-paper runner up award. Congrats to Natkamon Tovanich and his co-authors!

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We present our paper on Curve Complexity Heuristic KD-trees for Neighborhood-based Exploration of 3D Curves at Eurographics.

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We present our survey on Collaborative Work in Augmented Reality (journal paper in TVCG) at IEEE VR.

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