In which year was the author of the publication 'Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains' born?
1971
Hans Hao-Hsun Hsu et al.: A Graph Is More Than Its Nodes. (2022) authored by Daniel Cremers. Christian Tomani et al.: Parameterized Temperature Scaling for Boosting the Expressive Power in Post-hoc Uncertainty Calibration for Domain Drift Scenarios. (2021) authored by Daniel Cremers. Daniel Cremers is the author of the book "Quality Control at Your Fingertips: Quality-Aware Translation Models.". He also authored "Seyed Hamid Rezatofighi et al.: Learn to Predict Sets Using Feed-Forward Neural Networks.". He also authored "Sherwin Bahmani et al.: Semantic Self-adaptation: Enhancing the Expressive Power in Post-Hoc Uncertainty Calibration." rMeanCitedness is 2.7153847217559814453. authored by Daniel Cremers. Hamid Rezatofighi et al.: Associative Deep Clustering: Training a Classification Network with No Labels. (2017) authored by Daniel Cremers. Marek Schikora et al.: Cache Me if You Can: Accelerating Diffusion Models through Block Caching. (2023) authored by Daniel Cremers. Daniel Cremers modified 2023-10-18. Emanuel Laude et al.: Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. (2018) authored by Daniel Cremers. Zhenzhang Ye et al.: Sublabel-Accurate Multilabeling Meets Productivity. (2012) authored by Daniel Cremers. Daniel Cremers' primary affiliation is Technical University Munich, Germany. Yining Ma et al.: Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller. (2020) authored by Daniel Cremers. Ioannis Chiotellis et al.: Incremental Semi-Supervised Learning from Streams for Object Classification. (2018) authored by Daniel Cremers. Daniel Cremers is the author of Yuesong Shen et al.: Variational Learning is Effective for Small Lesion Detection in Breast MRI. (2023) authored by Daniel Cremers. Yan Xia et al.: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition. (2016) authored by Daniel Cremers. Daniel Cremers was associate professor at the University of Bonn from 2005 until 2009. He is the author of i10Index 301. Lukas von Stumberg et al.: GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization. (2020).
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Question: In which year was the author of the publication 'Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains' born?
Context: Hans Hao-Hsun Hsu et al.: A Graph Is More Than Its Nodes. (2022) authored by Daniel Cremers. Christian Tomani et al.: Parameterized Temperature Scaling for Boosting the Expressive Power in Post-hoc Uncertainty Calibration for Domain Drift Scenarios. (2021) authored by Daniel Cremers. Daniel Cremers is the author of the book "Quality Control at Your Fingertips: Quality-Aware Translation Models.". He also authored "Seyed Hamid Rezatofighi et al.: Learn to Predict Sets Using Feed-Forward Neural Networks.". He also authored "Sherwin Bahmani et al.: Semantic Self-adaptation: Enhancing the Expressive Power in Post-Hoc Uncertainty Calibration." rMeanCitedness is 2.7153847217559814453. authored by Daniel Cremers. Hamid Rezatofighi et al.: Associative Deep Clustering: Training a Classification Network with No Labels. (2017) authored by Daniel Cremers. Marek Schikora et al.: Cache Me if You Can: Accelerating Diffusion Models through Block Caching. (2023) authored by Daniel Cremers. Daniel Cremers modified 2023-10-18. Emanuel Laude et al.: Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. (2018) authored by Daniel Cremers. Zhenzhang Ye et al.: Sublabel-Accurate Multilabeling Meets Productivity. (2012) authored by Daniel Cremers. Daniel Cremers' primary affiliation is Technical University Munich, Germany. Yining Ma et al.: Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller. (2020) authored by Daniel Cremers. Ioannis Chiotellis et al.: Incremental Semi-Supervised Learning from Streams for Object Classification. (2018) authored by Daniel Cremers. Daniel Cremers is the author of Yuesong Shen et al.: Variational Learning is Effective for Small Lesion Detection in Breast MRI. (2023) authored by Daniel Cremers. Yan Xia et al.: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition. (2016) authored by Daniel Cremers. Daniel Cremers was associate professor at the University of Bonn from 2005 until 2009. He is the author of i10Index 301. Lukas von Stumberg et al.: GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization. (2020).
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