At which university did the author of 'A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking' work as an associate professor from 2005 until 2009?
University of Bonn
Daniel Cremers i10Index 301. Emanuel Laude et al., Daniel Cremers and Evgeny Strekalovskiy: Total Cyclic Variation and Generalizations. (2013) authored by Daniel Cremers. Sherwin Bahmani et al.: Semantic Self-adaptation: Enhancing Generalization with a Single Sample. (2022) authored by Daniel Cremers. Marvin Eisenberger et al.: A Unified Framework Daniel Cremers is also known as Marek Schikora et al.: Probabilistic Classification of Disease symptoms caused by Salmonella on Arabidopsis Plants. (2010) authored by Daniel Cremers. Christian Tomani et al.: Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. (2022) authored by Daniel Cremers. Daniel Cremers is also known as D. Cremers. He was the author of Zhenzhang Ye et al.: Sublabel-Accurate Multilabeling Meets Product Label Spaces, (2021) and Yan Xia et al.: SOE-Net: A Self-Attention and Orientation Encoding Network for Spin-echo MRI super-resolution, (2023). Daniel Cremers is the author of Qadeer Khan et al.: Towards Generalizing Sensorimotor Control Across Weather Conditions. (2019) authored by Daniel Cremers. Kalin Kolev et al.: A variational approach to vesicle membrane reconstruction from fluorescence imaging. (2011) authored by Daniel Cremers. Daniel Cremers and Ioannis Chiotellis: Neural Online Graph Exploration. (2021) authored by Daniel Cremers. Mahesh Chandra Mukkamala et al.: Bregman Proximal Gradient Algorithms for Deep Matrix Factorization. (2015) authored by Daniel Cremers. Ji Yang et al.: Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry. (2021)  Daniel Cremers orcidId is https://orcid.org/0000-0002-3079-7984. Lukas von Stumberg et al.: A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. (2018) authored by Daniel Cremers. Lu Sang et al.: Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. ( Daniel Cremers is the author of Aleksei Vasilev et al.: q-Space Novelty Detection with Variational Autoencoders. (2018) and Lu Sang et al.: High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. (2023). He was associate professor at the University of Bonn from 2005 until 2009.
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Question: At which university did the author of 'A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking' work as an associate professor from 2005 until 2009?
Context: Daniel Cremers i10Index 301. Emanuel Laude et al., Daniel Cremers and Evgeny Strekalovskiy: Total Cyclic Variation and Generalizations. (2013) authored by Daniel Cremers. Sherwin Bahmani et al.: Semantic Self-adaptation: Enhancing Generalization with a Single Sample. (2022) authored by Daniel Cremers. Marvin Eisenberger et al.: A Unified Framework Daniel Cremers is also known as Marek Schikora et al.: Probabilistic Classification of Disease symptoms caused by Salmonella on Arabidopsis Plants. (2010) authored by Daniel Cremers. Christian Tomani et al.: Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. (2022) authored by Daniel Cremers. Daniel Cremers is also known as D. Cremers. He was the author of Zhenzhang Ye et al.: Sublabel-Accurate Multilabeling Meets Product Label Spaces, (2021) and Yan Xia et al.: SOE-Net: A Self-Attention and Orientation Encoding Network for Spin-echo MRI super-resolution, (2023). Daniel Cremers is the author of Qadeer Khan et al.: Towards Generalizing Sensorimotor Control Across Weather Conditions. (2019) authored by Daniel Cremers. Kalin Kolev et al.: A variational approach to vesicle membrane reconstruction from fluorescence imaging. (2011) authored by Daniel Cremers. Daniel Cremers and Ioannis Chiotellis: Neural Online Graph Exploration. (2021) authored by Daniel Cremers. Mahesh Chandra Mukkamala et al.: Bregman Proximal Gradient Algorithms for Deep Matrix Factorization. (2015) authored by Daniel Cremers. Ji Yang et al.: Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry. (2021)  Daniel Cremers orcidId is https://orcid.org/0000-0002-3079-7984. Lukas von Stumberg et al.: A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. (2018) authored by Daniel Cremers. Lu Sang et al.: Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. ( Daniel Cremers is the author of Aleksei Vasilev et al.: q-Space Novelty Detection with Variational Autoencoders. (2018) and Lu Sang et al.: High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. (2023). He was associate professor at the University of Bonn from 2005 until 2009.
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