Cremers, Daniel
Cremers, Daniel, 1971-
Daniel Cremers deutscher Informatiker und Hochschullehrer
VIAF ID: 27995927 ( Personal )
Permalink: http://viaf.org/viaf/27995927
Preferred Forms
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- 100 1 _ ‡a Cremers, Daniel
-
- 100 1 _ ‡a Cremers, Daniel
- 100 1 _ ‡a Cremers, Daniel
- 100 1 _ ‡a Cremers, Daniel
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- 100 0 _ ‡a Daniel Cremers ‡c deutscher Informatiker und Hochschullehrer
4xx's: Alternate Name Forms (5)
5xx's: Related Names (6)
- 510 2 _ ‡a EMMCVPR 2009 (2009 : Bonn, Germany)
- 510 2 _ ‡a Mannheim, Univ
- 510 2 _ ‡a Rheinische Friedrich-Wilhelms-Universität Bonn ‡e Affiliation
- 510 2 _ ‡a Rheinische Friedrich-Wilhelms-Universität Bonn
- 510 2 _ ‡a Technische Universität München ‡e Affiliation
- 510 2 _ ‡a Technische Universität München
Works
Title | Sources |
---|---|
Autonomes Lernen für die Maschinelle Wahrnehmung | |
Autonomous Learning for Machine Perception | |
Camera-based mapping and localization in varying lighting conditions | |
Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V | |
Continuous Correspondence of Non-Rigid 3D Shapes | |
convex approach for computing minimal partitions | |
Deep learning and variational analysis for high-dimensional and geometric biomedical data | |
Deep-Learning-Methoden für die Fahrzeuglokalisierung und -steuerung unter anspruchsvollen Bedingungen | |
Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions | |
Deformable Shape Correspondence Using Pointwise and Pairwise Features | |
Efficient planar graph cuts with applications in computer vision | |
elastic ratio: introducing curvature into ratio-based glablly optimal segmentation | |
Energy minimization methods in computer vision and pattern recognition : 7th international conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009 : proceedings | |
From Numerical Optimization to Deep Learning and Back | |
Globally optimal image segmentation with an elastic shape prior | |
High resolution motion layer decomposition using dual space graph cuts | |
Iterated and efficient nonlocal means for denoising of textural patterns | |
Kontinuierliche Korrespondenzen zwischen Nicht-Rigiden 3D Formen | |
Korrespondenzen zwischen verformbaren Objekten mittels punktweisen und paarweisen Deskriptoren | |
Lower Envelopes and Lifting for Structured Nonconvex Optimization | |
Matching non-rigidly deformable shapes across images a globally optimal solution (DFG-Projekt CR 250/1-1) | |
Moment constraints in convex relaxation methods for shape optimization | |
On local region models and the statistical interpretation of the piecewise smooth Mumford-Shah functional | |
Optimierungs- und lernbasierte Verfahren für visuelles SLAM und Relokalisierung | |
Optimization- and Learning-Based Approaches to Visual SLAM and Relocalization | |
Reconstruction tridimensionnelle par stéréophotométrie | |
Représentations de modèles 3D pour l’alignement et la reconnaissance. | |
Representing 3D models for alignment and recognition | |
Semantic mapping and tracking with RGB-D cameras | |
Semantische Kartierung und Verfolgung mit RGB-D Kameras | |
Statistical and geometrical approaches to visual motion analysis, 2009: | |
Statistical shape knowledge in variational image segmentation | |
Stereo scene flow for 3D motion analysis | |
Synthetic 3D model-based object class detection and pose estimation. | |
Untere Hüllkurven und Lifting für strukturierte nicht-konvexe Optimierung | |
Video processing and computational video international seminar, Dagstuhl Castle, Germany, October 10 - 15, 2010 ; revised papers | |
Von Numerischer Optimierung zu Deep Learning und zurück |