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Univ. -Prof. Dr. Daniel Weiskopf University of Stuttgart

Dataset for NMF-based Analysis of Mobile Eye-Tracking Data, , , and . Dataset, (2024)Related to: Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, and Kuno Kurzhals. 2024. NMF-Based Analysis of Mobile Eye-Tracking Data. In 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), June 4-7, 2024, Glasgow, United Kingdom. ACM, New York, NY, USA, 9 pages. doi: 10.1145/3649902.3653518.
Dataset for NMF-based Analysis of Mobile Eye-Tracking Data, , , and . Dataset, (2024)Related to: Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, and Kuno Kurzhals. 2024. NMF-Based Analysis of Mobile Eye-Tracking Data. In 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), June 4-7, 2024, Glasgow, United Kingdom. ACM, New York, NY, USA, 9 pages. doi: 10.1145/3649902.3653518.Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections, and . 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.Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections", and . 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.
 

Other publications of authors with the same name

Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks., , , and . NIPS, page 622-630. (2016)Neurally-Guided Procedural Models: Learning to Guide Procedural Models with Deep Neural Networks., , , and . CoRR, (2016)ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans., , , , , and . CoRR, (2017)Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo., , , and . ACM Trans. Graph., 34 (4): 105:1-105:11 (2015)Improving Shape Deformation in Unsupervised Image-to-Image Translation., , , , and . ECCV (12), volume 11216 of Lecture Notes in Computer Science, page 662-678. Springer, (2018)An Improved Training Procedure for Neural Autoregressive Data Completion., and . CoRR, (2017)Deep convolutional priors for indoor scene synthesis., , , and . ACM Trans. Graph., 37 (4): 70:1-70:14 (2018)Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs., , , and . ACM Trans. Graph., 32 (4): 37:1-37:12 (2013)StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement., , , , , , , , and . CoRR, (2022)Deep Amortized Inference for Probabilistic Programs., , and . CoRR, (2016)