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T. Munz-Körner, and D. Weiskopf. Dataset, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
T. Munz-Körner, and D. Weiskopf. Software, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
M. Koch, N. Pathmanathan, D. Weiskopf, and K. Kurzhals. Dataset, (2024)Related to: Maurice Koch, Nelusa Pathmanathan, Daniel Weiskopf, and Kuno Kurzhals.2024. How Deep Is Your Gaze? Leveraging Distance in Image-Based GazeAnalysis. In 2024 Symposium on Eye Tracking Research and Applications(ETRA ’24), June 04–07, 2024, Glasgow, United Kingdom. ACM, New York,NY, USA, 7 pages. doi: 10.1145/3649902.3653349.
A. Bulling. Dataset, (2024)Related to: Tonsen, Marc, Julian Steil, Yusuke Sugano, Andreas Bulling. 2017. InvisibleEye: Mobile Eye Tracking Using Multiple Low-Resolution Cameras and Learning-Based Gaze Estimation. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) vol. 1, iss. 3, article no. 106. doi: 10.1145/3130971.
Y. Wang, and A. Bulling. Software, (2024)Related to: Y. Wang, Y. Jiang, Z. Hu, C. Ruhdorfer, M. Bâce, A. Bulling. "VisRecall++: Analysing and Predicting Recallability of Information Visualisations from Gaze Behaviour", in Proceedings of the ACM on Human-Computer Interaction (PACM HCI). doi: 10.1145/3655613.
Y. Wang, and A. Bulling. Software, (2024)Related to: Y. Wang, Q. Dai, M. Bâce, K. Klein, A. Bulling. "Saliency3D: A 3D Saliency Dataset Collected on Screen", in Proceedings of the ACM Symposium on Eye Tracking Research & Applications (ETRA '24). doi: 10.1145/3649902.3653350.
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M. Franke, and S. Koch. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP, 3 : IVAPP, page 40-52. Setúbal, SciTePress, (2023)
T. Krake, D. Klötzl, D. Hägele, and D. Weiskopf. Dataset, (2024)Related to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, Üncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388.
S. Rau, F. Heyen, S. Wagner, and M. Sedlmair. Proceedings of the 23rd International Society for Music Information Retrieval Conference, page 151-159. International Society for Music Information Retrieval, (2022)