Illustrative Rendering, Visualization, and Human-Computer Interaction > AVIZ > Inria Saclay / Université Paris-Saclay > Inria

Publications with Replicability Stamp

2024

He et al.,
  2024Tingying He, Yuanyang Zhong, Petra Isenberg, and Tobias Isenberg. Design Characterization for Black-and-White Textures in Visualization. IEEE Transactions on Visualization and Computer Graphics, 30(1):1019–1029, January 2024.

doi: 10.1109/TVCG.2023.3326941

(URL) (URL) (Open Access HAL) (Open Access arXiv) (OSF) (GitHub) (Replicability) (Video)

PDF: (25 pages, 17.25 MB)
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BibTeX entry:


@article{He:2024:DCB, author = {Tingying He and Yuanyang Zhong and Petra Isenberg and Tobias Isenberg}, title = {Design Characterization for Black-and-White Textures in Visualization}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2024}, volume = {30}, number = {1}, month = jan, pages = {1019--1029}, doi = {10.1109/TVCG.2023.3326941}, doi_url = {https://doi.org/10.1109/TVCG.2023.3326941}, oa_hal_url = {https://hal.inria.fr/hal-04167900}, preprint = {https://doi.org/10.48550/arXiv.2307.10089}, osf_url = {https://osf.io/n5zut/}, url = {https://tobias.isenberg.cc/p/He2024DCB}, url2 = {https://tingying-he.github.io/projects/He_2024_Textures.html}, github_url = {https://github.com/tingying-he/design-characterization-for-black-and-white-textures-in-visualization}, pdf = {https://tobias.isenberg.cc/personal/papers/He_2024_DCB.pdf}, video = {https://youtu.be/PfhSx-n02so}, }
Hong
  et al., 2024Jiayi Hong, Ross Maciejewski, Alain Trubuil, and Tobias Isenberg. Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage. IEEE Transactions on Visualization and Computer Graphics, 2024. To appear.

doi: 10.1109/TVCG.2023.3302308

(URL) (Open Access HAL) (Open Access preprint) (OSF) (OSF) (GitHub) (Replicability) (Video)

PDF: (14 pages, 13.08 MB)
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BibTeX entry:


@article{Hong:2024:CVM, author = {Jiayi Hong and Ross Maciejewski and Alain Trubuil and Tobias Isenberg}, title = {Visualizing and Comparing Machine Learning Predictions to Improve Human-{AI} Teaming on the Example of Cell Lineage}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2024}, doi = {10.1109/TVCG.2023.3302308}, doi_url = {https://doi.org/10.1109/TVCG.2023.3302308}, oa_hal_url = {https://hal.inria.fr/hal-04212205}, preprint = {https://osf.io/c8bez/}, osf_url = {https://osf.io/dcek9/}, osf_url2 = {https://osf.io/2f6uc/}, url = {https://tobias.isenberg.cc/p/Hong2024CVM}, github_url = {https://github.com/JiayiHong/LineageD_Plus}, pdf = {https://tobias.isenberg.cc/personal/papers/Hong_2024_CVM.pdf}, video = {http://youtu.be/-dkjHJKDV60}, }
Nam et al.,
  2024Jung Who Nam, Tobias Isenberg, and Daniel F. Keefe. V-Mail: 3D-Enabled Correspondence about Spatial Data on (Almost) All Your Devices. IEEE Transactions on Visualization and Computer Graphics, 2024. To appear.

doi: 10.1109/TVCG.2022.3229017

(URL) (URL) (Open Access HAL) (OSF) (GitHub) (GitHub) (GitHub) (Replicability) (Video)

PDF: (16 pages, 7.39 MB)
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BibTeX entry:


@article{Nam:2024:V3C, author = {Nam, Jung Who and Tobias Isenberg and Daniel F. Keefe}, title = {{V}-{M}ail: {3D}-Enabled Correspondence about Spatial Data on (Almost) All Your Devices}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2024}, doi = {10.1109/TVCG.2022.3229017}, doi_url = {https://doi.org/10.1109/TVCG.2022.3229017}, oa_hal_url = {https://hal.inria.fr/hal-03924707}, osf_url = {https://osf.io/qehvs/}, url = {https://tobias.isenberg.cc/p/Nam2024V3C}, url2 = {https://www.sculpting-vis.org/VMail.html}, github_url = {https://github.com/JungWhoNam/VisualizationMail}, github_url2 = {https://github.com/JungWhoNam/VisualizationMailServer}, github_url3 = {https://github.com/JungWhoNam/BrainTensorVis/tree/vmail}, pdf = {https://tobias.isenberg.cc/personal/papers/Nam_2024_V3C.pdf}, video = {https://youtu.be/SCTlARovRBY}, }

2023

He et al.,
  2023Tingying He, Petra Isenberg, Raimund Dachselt, and Tobias Isenberg. BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations. IEEE Transactions on Visualization and Computer Graphics, 29(1):363–373, January 2023.

doi: 10.1109/TVCG.2022.3209390

(URL) (URL) (Open Access HAL) (Open Access arXiv) (OSF) (OSF) (GitHub) (Replicability) (Video)

PDF: (33 pages, 10.63 MB) Slides (45 pages, 40.8 MB)
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BibTeX entry:


@article{He:2023:BVS, author = {Tingying He and Petra Isenberg and Raimund Dachselt and Tobias Isenberg}, title = {{B}eau{V}is: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2023}, volume = {29}, number = {1}, month = jan, pages = {363--373}, doi = {10.1109/TVCG.2022.3209390}, doi_url = {https://doi.org/10.1109/TVCG.2022.3209390}, oa_hal_url = {https://hal.inria.fr/hal-03763559}, preprint = {https://doi.org/10.48550/arXiv.2207.14147}, osf_url = {https://osf.io/fxs76/}, osf_url2 = {https://osf.io/djrn3/}, url = {https://tobias.isenberg.cc/p/He2023BVS}, url2 = {https://tingying-he.github.io/projects/He_2023_BeauVis.html}, github_url = {https://github.com/tingying-he/beauvis}, pdf = {https://tobias.isenberg.cc/personal/papers/He_2023_BVS.pdf}, video = {https://youtu.be/b5SkPLsd2p0}, }

2022

Hong
  et al., 2022Jiayi Hong, Alain Trubuil, and Tobias Isenberg. LineageD: An Interactive Visual System for Plant Cell Lineage Assignments based on Correctable Machine Learning. Computer Graphics Forum, 41(3):195–207, June 2022.

doi: 10.1111/cgf.14533

(URL) (Open Access HAL) (OSF) (GitLab) (Replicability) (Video)

PDF: (16 pages, 12.06 MB) Slides (30 pages, 28.11 MB)
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BibTeX entry:


@article{Hong:2022:CST, author = {Jiayi Hong and Alain Trubuil and Tobias Isenberg}, title = {{LineageD}: An Interactive Visual System for Plant Cell Lineage Assignments based on Correctable Machine Learning}, journal = {Computer Graphics Forum}, year = {2022}, volume = {41}, number = {3}, month = jun, pages = {195--207}, doi = {10.1111/cgf.14533}, doi_url = {https://doi.org/10.1111/cgf.14533}, oa_hal_url = {https://hal.inria.fr/hal-03699221}, osf_url = {https://osf.io/rhyg4/}, url = {https://tobias.isenberg.cc/p/Hong2022CST}, gitlab_url = {https://gitlab.inria.fr/jhong/lineaged}, pdf = {https://tobias.isenberg.cc/personal/papers/Hong_2022_CST.pdf}, video = {https://youtu.be/CSgMLjsaC2E}, }
Isenberg et al.,
  2022Tobias Isenberg, Zujany Salazar, Rafael Blanco, and Catherine Plaisant. Do You Believe Your (Social Media) Data? A Personal Story on Location Data Biases, Errors, and Plausibility as well as their Visualization. IEEE Transactions on Visualization and Computer Graphics, 28(9):3277–3291, September 2022.

doi: 10.1109/TVCG.2022.3141605

(URL) (Open Access HAL) (OSF) (GitHub) (Replicability) (Video)

PDF: (51 pages, 43.61 MB) Slides (73 pages, 10.27 MB)
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BibTeX entry:


@article{Isenberg:2022:DYB, author = {Tobias Isenberg and Zujany Salazar and Rafael Blanco and Catherine Plaisant}, title = {Do You Believe Your (Social Media) Data? {A} Personal Story on Location Data Biases, Errors, and Plausibility as well as their Visualization}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2022}, volume = {28}, number = {9}, month = sep, pages = {3277--3291}, doi = {10.1109/TVCG.2022.3141605}, doi_url = {https://doi.org/10.1109/TVCG.2022.3141605}, oa_hal_url = {https://hal.inria.fr/hal-03516682}, osf_url = {https://osf.io/u8ejr/}, url = {https://tobias.isenberg.cc/p/Isenberg2022DYB}, github_url = {https://github.com/tobiasisenberg/Motion-Plausibility-Profiles}, pdf = {https://tobias.isenberg.cc/personal/papers/Isenberg_2022_DYB.pdf}, video = {https://youtu.be/d1VGSutMfh0?t=811}, }
Sereno
  et al., 2022Mickael Sereno, Stéphane Gosset, Lonni Besançon, and Tobias Isenberg. Hybrid Touch/Tangible Spatial Selection in Augmented Reality. Computer Graphics Forum, 41(3):403–415, June 2022.

doi: 10.1111/cgf.14550

(URL) (Open Access HAL) (OSF) (OSF) (OSF) (GitHub) (GitHub) (Replicability) (Video)

PDF: (20 pages, 29.62 MB) Slides (44 pages, 3.85 MB)
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BibTeX entry:


@article{Sereno:2022:HTT, author = {Mickael Sereno and St{\'e}phane Gosset and Lonni Besan{\c{c}}on and Tobias Isenberg}, title = {Hybrid Touch/Tangible Spatial Selection in Augmented Reality}, journal = {Computer Graphics Forum}, year = {2022}, volume = {41}, number = {3}, month = jun, pages = {403--415}, doi = {10.1111/cgf.14550}, doi_url = {https://doi.org/10.1111/cgf.14550}, oa_hal_url = {https://hal.inria.fr/hal-03699232}, osf_url = {https://osf.io/qu634/}, osf_url2 = {https://osf.io/pwauq}, osf_url3 = {https://osf.io/rvpuc}, url = {https://tobias.isenberg.cc/p/Sereno2022HTT}, github_url = {https://github.com/MickaelSERENO/SciVis_Server/tree/CHI2020}, github_url2 = {https://github.com/MickaelSERENO/TangibleBrushAR_GRSI}, pdf = {https://tobias.isenberg.cc/personal/papers/Sereno_2022_HTT.pdf}, video = {https://youtu.be/JrBdTcuqHts}, }

2021

Chen
  et al., 2021Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, and Qiru Wang. VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications. IEEE Transactions on Visualization and Computer Graphics, 27(9):3826–3833, September 2021.

doi: 10.1109/TVCG.2021.3054916

(URL) (URL) (Open Access HAL) (Open Access arXiv) (GitHub) (GitHub) (Replicability)

PDF: (12 pages, 21.42 MB)
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BibTeX entry:


@article{Chen:2021:VCF, author = {Jian Chen and Meng Ling and Rui Li and Petra Isenberg and Tobias Isenberg and Michael Sedlmair and Torsten M{\"o}ller and Robert S. Laramee and Han-Wei Shen and Katharina W{\"u}nsche and Qiru Wang}, title = {{VIS30K}: A Collection of Figures and Tables from {IEEE} Visualization Conference Publications}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2021}, volume = {27}, number = {9}, month = sep, pages = {3826--3833}, doi = {10.1109/TVCG.2021.3054916}, doi_url = {https://doi.org/10.1109/TVCG.2021.3054916}, oa_hal_url = {https://hal.inria.fr/hal-03123279}, preprint = {https://doi.org/10.48550/arXiv.2101.01036}, url = {https://tobias.isenberg.cc/p/Chen2021VCF}, url2 = {https://visimagenavigator.github.io/}, github_url = {https://github.com/tobiasisenberg/VIS30KLink}, github_url2 = {https://github.com/VisImageNavigator/VisImageNavigator.Release}, pdf = {https://tobias.isenberg.cc/personal/papers/Chen_2021_VCF.pdf}, }

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