M. Abdelaal, N. Schiele, K. Angerbauer, K. Kurzhals, M. Sedlmair, and D. Weiskopf. Software, (2022)Related to: M. Abdelaal, N. D. Schiele, K. Angerbauer, K. Kurzhals, M. Sedlmair and D. Weiskopf, "Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209427.
K. Angerbauer, N. Rodrigues, R. Cutura, S. Öney, N. Pathmanathan, C. Morariu, D. Weiskopf, and M. Sedlmair. Dataset, (2022)Related to: Katrin Angerbauer, Nils Rodrigues, Rene Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, and Michael Sedlmair. 2022. Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. In CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 134, 1-23. doi: 10.1145/3491102.3502133.
D. Garkov, C. Müller, M. Braun, D. Weiskopf, and F. Schreiber. Dataset, (2022)Related to: Garkov, D., Müller, C., Braun, M., Weiskopf, D., Schreiber, F., “Research Data Curation in Visualization : Position Paper”, in 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), IEEE, 2022. doi: 10.1109/BELIV57783.2022.00011.
J. Görtler, T. Spinner, D. Weiskopf, and O. Deussen. Software, (2022)Related to: J. Görtler, T. Spinner, D. Streeb, D. Weiskopf and O. Deussen, Üncertainty-Aware Principal Component Analysis," in IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 1, pp. 822-831, Jan. 2020. doi: 10.1109/TVCG.2019.2934812.
D. Hägele, M. Abdelaal, O. Oguz, M. Toussaint, and D. Weiskopf. Software, (2020)Related to: Hägele, David, et al. "Visualization of Nonlinear Programming for Robot Motion Planning." Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, Association for Computing Machinery, 2020. doi: 10.1145/3430036.3430050.
D. Hägele, T. Krake, and D. Weiskopf. Dataset, (2022)Related to: D. Hägele, T. Krake and D. Weiskopf, Üncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209420.
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.