Publications and Awards

H. Tarner, P. Gralka, G. Reina, F. Beck, and S. Frey, “Visually enriching and comparing runtime performance of visualization pipelines,” Journal of Visualization, 2026, doi: 10.1007/s12650-025-01091-4.

S. A. Vriend, D. Hägele, and D. Weiskopf, “Two Empirical Studies on Audiovisual Semiotics of Uncertainty,” in Proceedings of the 20th International Audio Mostly Conference, ACM, Ed., New York, NY, USA: ACM, 2026, pp. 107–123. doi: 10.1145/3771594.3771604.

L. Joos, D. A. Keim, and M. T. Fischer, “Leveraging LLMs for semi-automatic corpus filtration in systematic literature reviews,” Computers & Graphics, vol. 135, p. 104537, 2026, doi: 10.1016/j.cag.2026.104537.

D. Blumberg, P. Paetzold, M. Stroh, O. Deussen, D. A. Keim, and F. L. Dennig, “FluidMap: Proportional and Spatially Consistent Layout Enrichments in Multidimensional Projections,” Computer Graphics Forum, 2026, doi: 10.1111/cgf.70293.

S. Künzel, S. Geringer, Q. Q. Ngo, P. Voglreiter, D. Weiskopf, and D. Schmalstieg, “Potentially Visible Set Generation with the Disocclusion Buffer,” in Proceedings of the SIGGRAPH Asia 2025 Conference Papers, New York, NY, USA: ACM, Dec. 2025, pp. 1–12. doi: 10.1145/3757377.3763981.

L. Zhou, X. Gou, and D. Weiskopf, “Continuous Indexed Points for Multivariate Volume Visualization,” Computational Visual Media, vol. 11, Art. no. 6, Dec. 2025, doi: 10.26599/cvm.2025.9450496.

S. Hubenschmid et al., “Revisiting Hybrid Input Devices for Immersive Analytics,” in Human Factors in Immersive Analytics Workshop at IEEE VIS 2025, Vienna, Nov. 2025.

M. Sönnichsen, M. Elfares, Y. Wang, R. Küsters, A. Roitberg, and A. Bulling, “AttentionLeak: What Does Human Attention Reveal About Information Visualisation?,” in International Conference on Document Analysis and Recognition, Cham: Springer Nature Switzerland, Sep. 2025, pp. 1–11. doi: 10.1007/978-3-032-04627-7_5.

M. Chang, Y. Wang, H. W. Wang, A. Bulling, and C. X. Bearfield, “Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations,” in Proceedings of the Eurographics Conference on Visualization (EuroVis), ACM, Ed., Jun. 2025, pp. 1–6. doi: 10.1145/3715669.3725883.

T. Nishiyasu, T. Kostorz, Y. Wang, Y. Sato, and A. Bulling, “ChartQC: Question Classification from Human Attention Data on Charts,” in Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), May 2025, pp. 1–6. doi: 10.1145/3715669.3725883.

R. Bauer, M. Evers, Q. Q. Ngo, G. Reina, S. Frey, and M. Sedlmair, “Voronoi Cell Interface‐Based Parameter Sensitivity Analysis for Labeled Samples,” Computer Graphics Forum, May 2025, doi: 10.1111/cgf.70122.

D. Shi, Y. Wang, Y. Bai, A. Bulling, and A. Oulasvirta, “Chartist: Task-driven Eye Movement Control for Chart Reading,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, New York, NY, United States, May 2025, pp. 1–14. doi: 10.1145/3706598.3713128.

Z. Wu, Y. Wang, M. Langer, and A. M. Feit, “RelEYEance: Gaze-based Assessment of Users’ AI-reliance at Run-time,” in Proceedings of the ACM on Human-Computer Interaction, ACM, Ed., May 2025, pp. 1–18. doi: 10.1145/3725841.

R. Jianu, N. Silva, N. Rodrigues, T. Blascheck, T. Schreck, and D. Weiskopf, “Gaze‐Aware Visualisation: Design Considerations and Research Agenda,” Computer Graphics Forum, 2025, doi: 10.1111/cgf.70097.

C. Jiao, Y. Wang, G. Zhang, M. Bâce, Z. Hu, and A. Bulling, “DiffGaze: A Diffusion Model for Modelling Fine-grained Human Gaze Behaviour on 360° Images,” ACM Transactions on Interactive Intelligent Systems, pp. 1–22, 2025, doi: 10.1145/3772075.

M. Evers and D. Weiskopf, “Uncertainty-Aware Spectral Visualization,” IEEE Transactions on Visualization and Computer Graphics, vol. 31, Art. no. 10, 2025, doi: 10.1109/tvcg.2025.3542898.

D. Garkov et al., “Interactive delineation and quantification of anatomical structure with virtual reality,” bioRxiv 2025.06.17.659041, 2025, doi: 10.1101/2025.06.17.659041.

F. Schreiber et al., “Sustainable software development in science – insights from 20 years of Vanted,” Journal of Integrative Bioinformatics, p. 20250007, 2025, doi: 10.1515/jib-2025-0007.

L. Joos, D. A. Keim, and M. T. Fischer, “Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews,” in EuroVis Workshop on Visual Analytics (EuroVA), 2025. doi: 10.2312/eurova.20251105.

D. Bienroth et al., “Automated integration of multi-slice spatial transcriptomics data in 2D and 3D using VR-Omics,” Genome Biology, vol. 26, Art. no. 1, 2025, doi: 10.1186/s13059-025-03630-6.

M. Chang, Y. Wang, H. W. Wang, Y. Zhou, A. Bulling, and C. X. Bearfield, “Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention,” in Proceedings of the IEEE Visualization Conference (VIS), Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 1–11. doi: 10.1109/tvcg.2025.3634815.

K. Angerbauer et al., “Inclusive avatars in the Metaverse: learning from the lived experiences of people with disabilities,” The Journal of Strategic Information Systems, vol. 34, Art. no. 4, 2025, doi: 10.1016/j.jsis.2025.101935.

R. Bauer, Q. Q. Ngo, G. Reina, S. Frey, and M. Sedlmair, “QVis: Query-based Visual Analysis of Multiscale Patterns in Spatiotemporal Ensembles,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–15, 2025, doi: 10.1109/tvcg.2025.3629575.

S. Mohammadi et al., “In-place Double Stimulus Methodology for Subjective Assessment of High Quality Images,” in European Workshop on Visual Information Processing (EUVIP), 2025. doi: 10.48550/arXiv.2508.09777.

M. Jenadeleh et al., “Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity,” in International Conference on Quality of Multimedia Experience (QoMEX), IEEE, 2025. doi: 10.48550/arXiv.2506.12505.

S. Geringer et al., “Eyes in the Clouds: Spatial Data Analysis with Gaze-Enhanced Point Clouds,” in 2nd Japan Visualization Symposium (JapanVis 2025), non-archival event, 2025.

A. V. Reinschluessel et al., “Bridging Realities in a Heartbeat : How Integrating Heartbeat Signals Supports Collaboration in Mixed Reality,” in CHI Workshop on “Scaling Distributed Collaboration in Mixed Reality”, 2025. [Online]. Available: http://nbn-resolving.de/urn:nbn:de:bsz:352-2-c76xaw7uu3xa8

D. Saupe and T. Bleile, “Robustness and Accuracy of MOS with Hard and Soft Outlier Detection,” in International Conference on Quality of Multimedia Experience (QoMEX), IEEE, 2025.

M. Koch et al., “Group Gaze-Sharing with Projection Displays,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, New York, NY, USA: ACM, 2025, pp. 92:1–92:7. doi: 10.1145/3715669.3725871.

R. Cutura et al., “SiGrid: Gridifying Scatterplots with Sector-Based Regularization and Hagrid,” in 2025 IEEE Visualization and Visual Analytics (VIS), IEEE, 2025, pp. 131–135. doi: 10.1109/vis60296.2025.00032.

L. Zhang et al., “Towards a Better Understanding of Graph Perception in Immersive Environments,” in 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025), 2025, pp. 1–19. doi: 10.4230/LIPIcs.GD.2025.9.

M. Testolina et al., “Fine-Grained Subjective Visual Quality Assessment for High-Fidelity Compressed Images,” in 2025 Data Compression Conference (DCC), IEEE, 2025, pp. 123–132. doi: 10.1109/dcc62719.2025.00020.

V. Hosu, L. Agnolucci, D. Iso, and D. Saupe, “Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution,” in International Conference on Computer Vision (ICCV), 2025. doi: 10.48550/arXiv.2502.06476.

L. Joos et al., “Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings,” in 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025), 2025. doi: 10.4230/LIPIcs.GD.2025.35.

M. Stroh et al., “Using Saliency for Semantic Image Abstractions in Robotic Painting,” Computer Graphics Forum, vol. 44, Art. no. 7, 2025, doi: 10.1111/cgf.70259.

D. Saupe and S. H. Del Pin, “Uncovering Cultural Influences on Perceptual Image and Video Quality Assessment through Adaptive Quantized Metric Models,” Journal of Perceptual Imaging, vol. 8, Art. no. 0, 2025, doi: 10.2352/j.percept.imaging.2025.7.000407.

C. Flöter, S. Geringer, G. Reina, D. Weiskopf, and T. Ropinski, “Evaluating Foveated Frame Rate Reduction in Virtual Reality for Head-Mounted Displays,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, New York, NY, USA: ACM, 2025, pp. 1–7. doi: 10.1145/3715669.3725870.

N. Gröne et al., “Interweaving Mathematics and Art: Drawing Graphs as Celtic Knots and Links with CelticGraph,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–12, 2025, doi: 10.1109/tvcg.2025.3545481.

P. Gralka, C. Müller, S. Geringer, G. Reina, and D. Weiskopf, “Quantifying Energy Reduction of Foveated Volume Visualization,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, New York, NY, USA: ACM, 2025, pp. 1–7. doi: 10.1145/3715669.3725881.

M. Becher, C. Müller, D. Sellenthin, T. Ertl, G. Reina, and D. Weiskopf, “Your visualisations are going places: SciVis on gaming consoles,” Journal of Visualization, vol. 28, pp. 341–357, 2025, doi: 10.1007/s12650-024-01035-4.

M.-M. Zymla, K. Kruschwitz, and P. Zodl, “An instructive implementation of semantic parsing and reasoning using Lexical Functional Grammar,” in Proceedings of the 2nd Bridging the Gap between Human and Automated Reasoning Workshop (BriGap-2), 2025.

M. Jenadeleh, J. Sneyers, P. Jia, S. Mohammadi, J. Ascenso, and D. Saupe, “Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression,” in International Conference on Quality of Multimedia Experience (QoMEX), IEEE, 2025. doi: 10.48550/arXiv.2504.06301.

J. Wieland, H. Cho, S. Hubenschmid, A. Kiuchi, H. Reiterer, and D. Lindlbauer, “Push2AR: Enhancing Mobile List Interactions Using Augmented Reality,” in 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE, Oct. 2024, pp. 671–680. doi: 10.1109/ismar62088.2024.00082.

P. Gralka, C. Müller, M. Heinemann, G. Reina, D. Weiskopf, and T. Ertl, “Power Overwhelming: The One With the Oscilloscopes,” Journal of Visualization, Aug. 2024, doi: 10.1007/s12650-024-01001-0.

S. Geringer et al., “mint: Integrating scientific visualizations into virtual reality,” Journal of Visualization, Aug. 2024, doi: 10.1007/s12650-024-01011-y.

Y. Wang, Y. Jiang, Z. Hu, C. Ruhdorfer, M. Bâce, and A. Bulling, “VisRecall++: Analysing and Predicting Visualisation Recallability from Gaze Behaviour,” Proc. ACM on Human-Computer Interaction (PACM HCI), vol. 8, pp. 1–18, Jul. 2024, doi: 10.1145/3655613.

S. A. Vriend, S. Vidyapu, K.-T. Chen, and D. Weiskopf, “Which Experimental Design is Better Suited for VQA Tasks?: Eye Tracking Study on Cognitive Load, Performance, and Gaze Allocations,” in Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, ACM, Ed., New York, NY, USA: ACM, Jun. 2024, pp. 77:1–77:7. doi: 10.1145/3649902.3653519.

D. Saupe and S. Hviid del Pin, “National differences in image quality assessment: An investigation on three large-scale IQA datasets,” in 2024 16th International Conference on Quality of Multimedia Experience (QoMEX), IEEE, Ed., IEEE, May 2024, pp. 214–220. doi: 10.1109/qomex61742.2024.10598250.

M. Jenadeleh, A. Heß, S. Hviid del Pin, E. Gamboa, M. Hirth, and D. Saupe, “Impact of feedback on crowdsourced visual quality assessment with paired comparisons,” in 2024 16th International Conference on Quality of Multimedia Experience (QoMEX), IEEE, Ed., IEEE, May 2024, pp. 125–131. doi: 10.1109/qomex61742.2024.10598256.

M. Jenadeleh, R. Hamzaoui, U.-D. Reips, and D. Saupe, “Crowdsourced Estimation of Collective Just Noticeable Difference for Compressed Video with the Flicker Test and QUEST+,” IEEE Transactions on Circuits and Systems for Video Technology, p. 1, May 2024, doi: 10.1109/tcsvt.2024.3402363.

Y. Wang et al., “SalChartQA: Question-driven Saliency on Information Visualisations,” in Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI), ACM, May 2024, pp. 1–14. doi: 10.1145/3613904.3642942.

M. Kurzweg, Y. Weiss, M. O. Ernst, A. Schmidt, and K. Wolf, “Survey on Haptic Feedback through Sensory Illusions in Interactive Systems,” ACM Comput. Surv., vol. 56, Art. no. 8, Apr. 2024, doi: 10.1145/3648353.

Y. Xue et al., “Reducing Ambiguities in Line-Based Density Plots by Image-Space Colorization,” IEEE Transactions on Visualization & Computer Graphics, vol. 30, Art. no. 1, Jan. 2024, [Online]. Available: https://www.computer.org/csdl/journal/tg/2024/01/10297597/1RyY1MBMcIo

Y. Wang, Q. Dai, M. Bâce, K. Klein, and A. Bulling, “Saliency3D: a 3D Saliency Dataset Collected on Screen,” in Proc. ACM International Symposium on Eye Tracking Research and Applications (ETRA), ACM, 2024, pp. 1–6. doi: 10.1145/3649902.3653350.

C. Müller and T. Ertl, “Quantifying Performance Gains of DirectStorage for the Visualisation of Time-Dependent Particle Data Sets,” Journal of Visualization, 2024, doi: 10.1007/s12650-024-01036-3.

P. Paetzold, D. Hägele, M. Evers, D. Weiskopf, and O. Deussen, “UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox.” IEEE, pp. 48–50, 2024. doi: 10.1109/uncertaintyvisualization63963.2024.00011.

F. L. Dennig et al., “The Categorical Data Map: A Multidimensional Scaling-Based Approach,” in 2024 IEEE Visualization in Data Science (VDS), IEEE, 2024, pp. 25–34. doi: 10.1109/vds63897.2024.00008.

V. Mikheev, R. Skukies, and B. Ehinger, “The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices,” Aperture Neuro, vol. 4, 2024, doi: 10.52294/001c.116386.

Y. Zhang, H. Williams, F. Schreiber, and K. Klein, “Visualising the Invisible : Exploring Approaches for Visual Analysis of Dynamic Airflow in Geographic Environments Using Sensor Data,” in Proceedings of the EuroVis Workshop on Visual Analytics 2024, Eindhoven, 2024. doi: 10.2312/eurova.20241117.

S. Su et al., “Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model,” IEEE Transactions on Multimedia, vol. 26, pp. 2671–2685, 2024, doi: 10.1109/tmm.2023.3301276.

J. Fuchs, F. L. Dennig, M.-V. Heinle, D. A. Keim, and S. Di Bartolomeo, “Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis,” Computer Graphics Forum, vol. 43, Art. no. 3, 2024, doi: 10.1111/cgf.15079.

K. Angerbauer et al., “Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR,” in The 26th International ACM SIGACCESS Conference on Computers and Accessibility, New York, NY, USA: ACM, 2024, pp. 1–15. doi: 10.1145/3663548.3675601.

F. Huth, M. Koch, M. Awad-Mohammed, K. Kurzhals, and D. Weiskopf, “Eye Tracking on Text Reading with Visual Enhancements,” in Symposium on Eye Tracking Research and Applications, in ETRA ’24. New York, NY, USA: Association for Computing Machinery, 2024, p. 7. doi: 10.1145/3649902.3653521.

T. Rau et al., “Understanding Collaborative Learning of Molecular Structures in AR with Eye Tracking,” IEEE Computer Graphics and Applications, pp. 1–12, 2024, doi: 10.1109/mcg.2024.3503903.

V. Hosu, L. Agnolucci, O. Wiedemann, D. Iso, and D. Saupe, “UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment,” in Computer Vision – ECCV 2024 Workshops: Milan, Italy, September 29–October 4, 2024, Proceedings, Part IX., Cham: Springer Nature Switzerland, 2024, pp. 467–482. doi: 10.1007/978-3-031-91838-4_28.

R. Buchmüller, B. Jäckl, M. Behrisch, D. A. Keim, and F. L. Dennig, “cPro: Circular Projections Using Gradient Descent,” in Proceedings of the 15th International EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 2024. doi: 10.2312/eurova.20241111.

L. Joos, B. Jäckl, D. A. Keim, M. T. Fischer, L. Peska, and J. Lokoč, “Known-Item Search in Video: An Eye Tracking-Based Study,” in Proceedings of the 2024 International Conference on Multimedia Retrieval (ICMR ’24), New York, NY, USA: ACM, 2024, pp. 311–319. doi: 10.1145/3652583.3658119.

L. Joos et al., “Evaluating Node Selection Techniques for Network Visualizations in Virtual Reality,” in ACM Symposium on Spatial User Interaction, New York, NY, USA: ACM, 2024, pp. 1–11. doi: 10.1145/3677386.3682102.

M. Koch, N. Pathmanathan, D. Weiskopf, and K. Kurzhals, “How Deep Is Your Gaze? Leveraging Distance in Image-Based Gaze Analysis,” in Proceedings of the 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), New York, NY, USA: ACM, 2024, pp. 1–7. doi: 10.1145/3649902.3653349.

D. Weiskopf, “Bridging Quantitative and Qualitative Methods for Visualization Research: A Data/Semantics Perspective in Light of Advanced AI,” in 2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), IEEE, Ed., IEEE, 2024, pp. 119–128. doi: 10.1109/beliv64461.2024.00019.

J. Wieland et al., “Investigating the Potential of Haptic Props for 3D Object Manipulation in Handheld AR,” IEEE Transactions on Visualization and Computer Graphics, vol. 31, Art. no. 9, 2024, doi: 10.1109/tvcg.2024.3495021.

D. I. Fink, M. Skowronski, J. Zagermann, A. V. Reinschluessel, H. Reiterer, and T. Feuchtner, “There Is More to Avatars Than Visuals: Investigating Combinations of Visual and Auditory User Representations for Remote Collaboration in Augmented Reality,” in Proceedings of the ACM on Human-Computer Interaction, Association for Computing Machinery (ACM), 2024, pp. 540–568. doi: 10.1145/3698148.

N. Kraus, M. Aichem, K. Klein, E. Lein, A. Jordan, and F. Schreiber, “TIBA: A web application for the visual analysis of temporal occurrences, interactions, and transitions of animal behavior,” PLOS Computational Biology, vol. 20, Art. no. 10, 2024, doi: 10.1371/journal.pcbi.1012425.

T. Krake, D. Klötzl, D. Hägele, and D. Weiskopf, “Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–16, 2024, doi: 10.1109/tvcg.2024.3364388.

P. Eades et al., “CelticGraph: Drawing Graphs as Celtic Knots and Links,” in Graph Drawing and Network Visualization, M. A. Bekos and M. Chimani, Eds., Cham: Springer Nature Switzerland, 2024, pp. 18–35. doi: 10.1007/978-3-031-49272-3_2.

L. Xiao et al., “A Systematic Review of Ability-diverse Collaboration through Ability-based Lens in HCI,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, 2024, pp. 1–21. doi: 10.1145/3613904.3641930.

S. P. Feyer et al., “2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality,” IEEE Transactions on Visualization and Computer Graphics, vol. 30, Art. no. 1, 2024, doi: 10.1109/tvcg.2023.3327402.

N. Gröne, B. Grüneisen, K. Klein, B. de Bono, T. Czauderna, and F. Schreiber, “Layout of anatomical structures and blood vessels based on the foundational model of anatomy,” Journal of Integrative Bioinformatics, vol. 21, Art. no. 3, 2024, doi: 10.1515/jib-2024-0023.

S. P. Feyer, B. Pinaud, K. Klein, E. Lein, and F. Schreiber, “Exploring animal behaviour multilayer networks in immersive environments – a conceptual framework,” Journal of Integrative Bioinformatics, vol. 21, Art. no. 3, 2024, doi: 10.1515/jib-2024-0022.

G. Richer, A. Pister, M. Abdelaal, J.-D. Fekete, M. Sedlmair, and D. Weiskopf, “Scalability in Visualization,” IEEE Transactions on Visualization and Computer Graphics, vol. 30, Art. no. 7, 2024, doi: 10.1109/tvcg.2022.3231230.

D. Blumberg, Y. Wang, A. Telea, D. A. Keim, and F. L. Dennig, “Inverting Multidimensional Scaling Projections Using Data Point Multilateration,” in Proceedings of the 15th International EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 2024. doi: 10.2312/eurova.20241112.

M. M. Hamza, E. Ullah, A. Baggag, H. Bensmail, M. Sedlmair, and M. Aupetit, “ClustML: A measure of cluster pattern complexity in scatterplots learnt from human-labeled groupings,” Information Visualization, vol. 23, Art. no. 2, 2024, doi: 10.1177/14738716231220536.

M. Jenadeleh et al., “An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling.” IEEE, pp. 278–281, 2024. doi: 10.1109/qomex61742.2024.10598258.

D. Klötzl, T. Krake, M. Becher, M. Koch, D. Weiskopf, and K. Kurzhals, “NMF-Based Analysis of Mobile Eye-Tracking Data,” in Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024, pp. 1–9. doi: 10.1145/3649902.3653518.

D. Saupe, K. Rusek, D. Hägele, D. Weiskopf, and L. Janowski, “Maximum Entropy and Quantized Metric Models for Absolute Category Ratings,” IEEE Signal Processing Letters, vol. 31, pp. 2970–2974, 2024, doi: 10.1109/lsp.2024.3480832.

D. Garkov et al., “Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis,” arXiv preprint, 2024, doi: 10.48550/arXiv.2412.14776.

F. Heyen, Q. Q. Ngo, and M. Sedlmair, “Visual Overviews for Sheet Music Structure,” in Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR) 2023, ISMIR, Dec. 2023, pp. 692–699. doi: 10.5281/zenodo.10265383.

C. Beck and M. Köllner, “GHisBERT – Training BERT from scratch for lexical semantic investigations across historical German language stages,” in Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, N. Tahmasebi, S. Montariol, H. Dubossarsky, A. Kutuzov, S. Hengchen, D. Alfter, F. Periti, and P. Cassotti, Eds., Singapore: Association for Computational Linguistics, Dec. 2023, pp. 33–45. [Online]. Available: https://aclanthology.org/2023.lchange-1.4

J. Zagermann, S. Hubenschmid, D. I. Fink, J. Wieland, H. Reiterer, and T. Feuchtner, “Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces,” in 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Los Alamitos, CA, USA: IEEE Computer Society, Oct. 2023, pp. 191–195. doi: 10.1109/ISMAR-Adjunct60411.2023.00044.

L. Hirsch, F. Müller, F. Chiossi, T. Benga, and A. M. Butz, “My Heart Will Go On: Implicitly Increasing Social Connectedness by Visualizing Asynchronous Players’ Heartbeats in VR Games,” Proc. ACM Hum.-Comput. Interact., vol. 7, Oct. 2023, doi: 10.1145/3611057.

J. Schmalfuß, L. Mehl, and A. Bruhn, “Distracting Downpour: Adversarial Weather Attacks for Motion Estimation,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct. 2023, pp. 10106–10116. [Online]. Available: https://openaccess.thecvf.com/content/ICCV2023/html/Schmalfuss_Distracting_Downpour_Adversarial_Weather_Attacks_for_Motion_Estimation_ICCV_2023_paper.html

O. Wiedemann, V. Hosu, S. Su, and D. Saupe, “Konx: cross-resolution image quality assessment,” Quality and User Experience, vol. 8, Art. no. 1, Aug. 2023, doi: 10.1007/s41233-023-00061-8.

E. Sood, L. Shi, M. Bortoletto, Y. Wang, P. Müller, and A. Bulling, “Improving Neural Saliency Prediction with a Cognitive Model of Human Visual Attention,” in Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci), Jul. 2023, pp. 3639–3646. [Online]. Available: https://escholarship.org/uc/item/5968p71m

X. Zhao et al., “CUDAS: Distortion-Aware Saliency Benchmark,” IEEE Access, vol. 11, pp. 58025–58036, Jun. 2023, doi: 10.1109/access.2023.3283344.

G. Chen, H. Lin, O. Wiedemann, and D. Saupe, “Localization of Just Noticeable Difference for Image Compression,” in 2023 15th International Conference on Quality of Multimedia Experience (QoMEX), Jun. 2023, pp. 61–66. doi: 10.1109/QoMEX58391.2023.10178653.

L. Mehl, J. Schmalfuß, A. Jahedi, Y. Nalivayko, and A. Bruhn, “Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2023, pp. 4981–4991. [Online]. Available: https://openaccess.thecvf.com/content/CVPR2023/html/Mehl_Spring_A_High-Resolution_High-Detail_Dataset_and_Benchmark_for_Scene_Flow_CVPR_2023_paper.html

K.-T. Chen et al., “Gazealytics : A Unified and Flexible Visual Toolkit for Exploratory and Comparative Gaze Analysis,” in ETRA ’23 : Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, New York, NY, USA: Association for Computing Machinery, May 2023, pp. 69:1–69:7. doi: 10.1145/3588015.3589844.

M. Kern, S. Jaeger-Honz, F. Schreiber, and B. Sommer, “APL@voro—interactive visualization and analysis of cell membrane simulations,” Bioinformatics, vol. 39, Art. no. 2, Feb. 2023, doi: 10.1093/bioinformatics/btad083.

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