
- Cognitive Technical Systems --What Is the Role of Artificial Intelligence?
- CoTeSys --Cognition for Technical Systems Martin Buss
- Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs
- Strong non-Arrhenius temperature dependence of the resistivity in the regime of traditional band transport
- Probabilistic Classification of Disease Symptoms caused by Salmonella on Arabidopsis Plants
- Equipping Robot Control Programs with First-Order Probabilistic Reasoning Capabilities
- ON THE ANDRE MOTIVE OF CERTAIN IRREDUCIBLE SYMPLECTIC ULRICH SCHLICKEWEI
- Continuous Energy Minimization via Repeated Binary Fusion
- A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors
- Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation
- Towards Recognition-Based Variational Segmentation Using Shape Priors
- Interactive Motion Segmentation Claudia Nieuwenhuis1
- Fully-automated Analysis of Muscle Fiber Images with Combined Region and Edge Based
- PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors
- Iterated Nonlocal Means for Texture Restoration Thomas Brox and Daniel Cremers
- An Approach to Vectorial Total Variation based on Geometric Measure Theory
- An Algorithm for Minimizing the Mumford-Shah Functional Thomas Pock
- Weighted Minimal Hypersurfaces and Their Applications in Computer Vision
- Large Displacement Optical Flow Computation without Warping Frank Steinbrucker
- Int J Comput Vis DOI 10.1007/s11263-007-0055-y
- Integral Invariants for Shape Matching Siddharth Manay, Daniel Cremers, Member, IEEE, Byung-Woo Hong,
- International Journal of Computer Vision 62(3), 249265, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
- Dynamic Texture Segmentation Gianfranco Doretto
- Beyond Connecting the Dots: A Polynomial-time Algorithm for Segmentation and Boundary Estimation with Imprecise User Input
- G. Sommer, Y.Y. Zeevi (Eds.), Algebraic Frames for the Perception{Action Cycle, Lecture Notes in Computer Science, Springer, Berlin, Vol. 1888, pp. 164{174,
- Region-based Pose Tracking Christian Schmaltz1, Bodo Rosenhahn2, Thomas Brox3, Daniel Cremers3, Joachim
- To appear in the Journal of Scientific Computing, 2008, c Springer. Nonlinear Dynamical Shape Priors
- Dutch AIBO Team at RoboCup 2006 Arnoud Visser1
- Robot companion localization at home and in the office Arnoud Visser Jurgen Sturm Frans Groen
- Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
- STABILITY OF TAUTOLOGICAL VECTOR BUNDLES ON HILBERT SQUARES OF SURFACES
- An introduction to Total Variation for Image Analysis
- G. Gerig (Ed.), Medical Image Comput. and Comp.-Ass. Interv. (MICCAI), Palm Springs, Oct. 2005. LNCS Vol. 3750, pp. 757764. c Springer
- Compact Models of Motor Primitive Variations for Predictable Reaching and Obstacle Avoidance
- Reconstructing the Geometry of Flowing Water Ivo Ihrke Bastian Goldluecke Marcus Magnor
- Statistical Shape Knowledge in Variational Image Segmentation
- Spacetime-coherent Geometry Reconstruction from Multiple Video Streams Marcus Magnor and Bastian Goldlucke
- The AGILO Robot Soccer Team --Experience-based Learning and Probabilistic
- Dutch AIBO Team at RoboCup 2005 Niek Wijngaards1
- The Elastic Ratio: Introducing Curvature into Ratio-based Image Segmentation
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 A Combinatorial Solution for Model-based
- Noname manuscript No. (will be inserted by the editor)
- Markerless Motion Capture of Man-Machine Interaction Bodo Rosenhahn1
- SIAM J. IMAGING SCIENCES c 20XX Society for Industrial and Applied Mathematics Vol. 0, No. 0, pp. 000000
- Real-Time Dense Geometry from a Handheld Camera
- B. Triggs and A. Zisserman (Eds.), IEEE Intl. Conf. on Computer Vision (ICCV), Nice, Oct. 2003, Vol 2, 886892. Variational Space-Time Motion Segmentation
- Hardware-accelerated Dynamic Light Field Rendering Bastian Goldlucke, Marcus Magnor, Bennett Wilburn
- Body Schema Learning for Robotic Manipulators from Visual Self-Perception
- On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
- Bonner Mathematische Schriften Ulrich Schlickewei
- EFFICIENT KERNEL DENSITY ESTIMATION OF SHAPE AND INTENSITY PRIORS
- Bayesian Approaches to Motion-Based Image and Video Segmentation
- G. Barato , H. Neumann (Eds.), Dynamische Perzeption, Ulm, Nov. 2000 Proceedings in Arti cial Intelligence, In x, Vol. 9, pp. 117{122, c
- An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
- Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs
- Nonparametric Density Estimation for Human Pose Tracking
- Monocular Video serves RADAR-based Emergency Braking Andreas Wedel and Uwe Franke
- Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming
- A Silhouette Based Human Motion Tracking System Bodo Rosenhahn1,3
- Panoramic Localization in the 4-Legged League Removing the dependence on artificial landmarks
- Acquiring Models of Rectangular 3D Objects for Robot Maps
- A TV Flow Based Local Scale Measure for Texture Discrimination
- Nonlinear Shape Statistics via Kernel Spaces Daniel Cremers, Timo Kohlberger, and Christoph Schnorr
- STENNING: "CREMERSETALMRF2011" --2010/8/10 --14:58 --PAGE 1 --#1 1 Convex Relaxation Techniques for Segmentation,
- Total Variation for Cyclic Structures: Convex Relaxation and Efficient Minimization
- Passive Multi-Object Localization and Tracking Using Bearing Data
- Multi-target multi-sensor localization and tracking using passive antennas and optical sensors on UAVs
- Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for
- Convex Relaxation for Multilabel Problems with Product Label Spaces
- Tactile Object Class and Internal State Recognition for Mobile Manipulation
- Institut fur Informatik III der Rheinischen Friedrich-Wilhelms-Universitat Bonn
- Continuous Global Optimization in Multiview 3D Reconstruction Kalin Kolev, Maria Klodt, Thomas Brox and Daniel Cremers
- 572 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 10, NO. 4, DECEMBER 2009 B-Spline Modeling of Road Surfaces With an
- An appearance-based visual compass for mobile robots J. Sturm a,, A. Visser b,
- Efficient Planar Graph Cuts with Applications in Computer Vision IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2009, Miami, Florida. c IEEE.
- A Convex Relaxation Approach for Computing Minimal Partitions Thomas Pock
- Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction
- Superresolution Texture Maps for Multiview Reconstruction Bastian Goldluecke and Daniel Cremers
- Variational Optical Flow from Alternate Exposure Images Anita Sellent1
- Structure-and Motion-adaptive Regularization for High Accuracy Optic Flow Andreas Wedel1,2
- Inaugural-Dissertation Erlangung der Doktorwurde
- IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Efficient Nonlocal Means for
- British Machine Vision Conference 2008, Leeds, U.K. Image Segmentation with Elastic Shape Priors
- Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains
- Duality TV-L1 Flow with Fundamental Matrix Prior A. Wedel1,2
- Automatic Differentiation for GPU-Accelerated 2D/3D Registration
- Computer Vision Winter Workshop 2008, Janez Pers (ed.) Moravske Toplice, Slovenia, February 46
- Matching Non-rigidly Deformable Shapes Across Images: A Globally Optimal Solution
- Globally Optimal Shape-based Tracking in Real-time IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2008, Anchorage, Alaska. c IEEE.
- High Resolution Motion Layer Decomposition using Dual-space Graph Cuts
- NONLOCAL TEXTURE FILTERING WITH EFFICIENT TREE STRUCTURES AND INVARIANT PATCH SIMILARITY MEASURES
- On Errors-In-Variables Regression with Arbitrary Covariance and its Application to Optical Flow Estimation
- Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting
- Institut fur Informatik III der Rheinischen Friedrich-Wilhelms-Universitat Bonn
- Weighted Minimal Hypersurface Reconstruction Bastian Goldlucke, Student Member, IEEE, Ivo Ihrke, Student Member, IEEE, Christian Linz, and
- Quantitative modeling of the annealing-induced changes of the magnetotransport in Ga1-xMnxAs alloys
- Propagated Photoconsistency and Convexity in Variational Multiview 3D Reconstruction
- Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts
- Efficient Shape Matching Via Graph Cuts Frank R. Schmidt1
- In S. Baker, J. Matas, R. Zabih (Eds), IEEE Intl. Conf. on Computer Vision and Patt. Recog. (CVPR), Minneapolis, June 2007. Nonlinear Dynamical Shape Priors for Level Set Segmentation
- Blood Vessel Classification into Arteries and Veins in Retinal Claudia Kondermann and Daniel Kondermanna and Michelle Yanb
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. X, X 2006. TO APPEAR. 1 Dynamical Statistical Shape Priors
- International Journal of Computer Vision 66(1), 6781, 2006 c 2006 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
- Shape Matching by Variational Computation of Geodesics on a Manifold
- Near Real-Time Motion Segmentation Using Graph Cuts
- Robust Variational Segmentation of 3D Objects from Multiple Views
- An Integral Solution to Surface Evolution PDEs Via Geo-cuts
- Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
- Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration
- 4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences
- Bastian Goldlucke Multi-Camera
- Superlattices and Microstructures 37 (2005) 321326 www.elsevier.com/locate/superlattices
- N. Paragios et al. (Eds.), 3rd Workshop on Variational and Level Set Methods, Beijing, Oct. 2005. LNCS Vol. 3752, pp. 210221. c Springer
- SPACETIME-CONTINUOUS GEOMETRY MESHES FROM MULTI-VIEW VIDEO SEQUENCES
- Von Pixeln zu Regionen: Partielle Differentialgleichungen
- Pattern Recognition 36 (2003) 19291943 www.elsevier.com/locate/patcog
- C. Dyer and P. Perona (Eds.), IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Madison, June 2003, Vol. 1, pp. 5358. A Variational Framework for Image Segmentation
- A Multiphase Level Set Framework for Motion Segmentation
- O. Faugeras, N. Paragios (Eds.), 2nd IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision, Nice, 2003. A Pseudo-distance for Shape Priors in Level Set Segmentation
- A Generative Model Based Approach to Motion Segmentation
- REAL-TIME MICROFACET BILLBOARDING FOR FREE-VIEWPOINT VIDEO RENDERING
- Real-time, Free-viewpoint Video Rendering from Volumetric Geometry
- LETTER Communicated by Paul Bressloff Traveling Waves of Excitation in Neural Field Models
- International Journal of Computer Vision 50(3), 295313, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Nonlinear Matrix Diffusion for Optic Flow Thomas Brox and Joachim Weickert
- Luc Van Gool (Ed.), Pattern Recognition, Zurich, Sept. 1618, 2002, LNCS Vol. 2449, 472480, c Springer.
- D I P L O M A T H E S I S Computer Engineering
- Physica D 126 (1999) 123135 Flow equations for the HenonHeiles Hamiltonian
- PARTICLE SYSTEMS AND KINETIC EQUATIONS MODELING INTERACTING AGENTS IN HIGH DIMENSION
- Shedding Light on Stereoscopic Segmentation hljin@cs.ucla.edu
- Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in
- IEEE Workshop on Variational and Levelset Methods, Vancouver, CA, Jul. 13, 2001, pp. 137--144 c
- An Experimental Comparison of Discrete and Continuous Shape Optimization Methods
- Joint 3D-Reconstruction and Background Separation in Multiple Views using Graph Cuts
- Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains
- International Journal of Computer Vision 69(3), 335351, 2006 c 2006 Springer Science + Business Media, LLC. Manufactured in The Netherlands.
- Efficient Dense Scene Flow from Sparse or Dense Stereo Data
- ON THE EQUIVALENCE OF SOFT WAVELET SHRINKAGE, TOTAL VARIATION DIFFUSION, TOTAL VARIATION
- Nonlinear Shape Statistics in MumfordShah Based Segmentation
- Modeling and Tracking Line-Constrained Mechanical B. Rosenhahn1, T. Brox2, D. Cremers3, and H.-P. Seidel1
- Video Super Resolution using Duality Based TV-L1
- Combinatorial Solutions for Shape Optimization in Computer Vision
- Fast and Exact Solution of Total Variation Models on the GPU Thomas Pock1,2
- A system for marker-less human motion estimation B. Rosenhahn1,4
- A Statistical Confidence Measure for Optical Flows Claudia Kondermann1
- Robot Soccer World Cup IX http://www.robocup2005.org/
- Fast Matching of Planar Shapes in Sub-cubic Runtime 11th IEEE International Conference on Computer Vision, Rio de Janeiro, 2007. c IEEE.
- Level Set Based Image Segmentation with Multiple Thomas Brox and Joachim Weickert
- Unsupervised Segmentation Incorporating Colour, Texture, and Motion
- A Probabilistic Level Set Formulation for Interactive Organ Segmentation
- Robot Soccer World Cup X http://www.robocup2006.org/
- Universitat des Saarlandes Fachrichtung 6.1 Mathematik
- Realtime Depth Estimation and Obstacle Detection from Monocular Video
- Curvature Regularity for Region-based Image Segmentation and Inpainting: A Linear Programming Relaxation
- Stereoscopic Displays and Virtual Reality Systems X, Vol. 5006, SPIE Proceedings 2003 Hardware-accelerated Autostereogram Rendering for
- Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions
- A Real-time Visual Attention System Using Integral Images
- Knowledge Based Image Enhancement Using Neural Networks Claudia Nieuwenhuis
- An Improved Algorithm for TV-L1 Optical Flow
- Scaled Motion Dynamics for Markerless Motion Capture Bodo Rosenhahn1
- Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human
- Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
- Equivalence Results for TV Diffusion and TV Regularisation
- Space-time Isosurface Evolution for Temporally Coherent 3D Reconstruction
- WarpCut -Fast Obstacle Segmentation in Monocular Video
- Universitat des Saarlandes Fachrichtung 6.1 Mathematik
- A. Pece (Ed.): First Int. Workshop on Generative-Model-Based Vision, Copenhagen, 2 June, 2002. Statistical Shape Knowledge in
- A Comparison of Shape Matching Methods for Contour Based Pose Estimation
- High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
- Complex Motion Models for Simple Optical Flow Estimation
- A Convex Formulation of Continuous Multi-label Problems
- Tailoring the magnetoresistance of MnAs/GaAs:Mn granular hybrid nanostructures
- Continuous Global Optimization in Multiview 3D Reconstruction
- Online Smoothing for Markerless Motion Capture Bodo Rosenhahn1, Thomas Brox2, Daniel Cremers2, and Hans-Peter Seidel1
- THE HODGE CONJECTURE FOR SELF-PRODUCTS OF CERTAIN K3 ULRICH SCHLICKEWEI
- Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
- Autonomous Color Learning in an Artificial Environment Dave van Soest Mark de Greef Jurgen Sturm Arnoud Visser
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Combined Region-and Motion-based 3D Tracking
- International Journal of Computer Vision 72(2), 195215, 2007 c 2007 Springer Science + Business Media, LLC. Manufactured in the United States.
- C. Rasmussen et al. (Eds.), Pattern Recognition, Tubingen, Sept. 2004. LNCS Vol. 3175, pp. 3644. c Springer
- Tracking Clothed People B. Rosenhahn1
- RG Mapping: Learning Compact and Structured 2D Line Maps of Indoor Environments
- An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections
- RG Mapping: Building Object-Oriented Representations of Structured Human
- TVSeg -Interactive Total Variation Based Image Segmentation
- Int J Comput Vis (2009) 84: 184193 DOI 10.1007/s11263-008-0153-5
- Globally Optimal Image Segmentation with an Elastic Shape Prior 11th IEEE International Conference on Computer Vision, Rio de Janeiro, 2007. c IEEE.
- Statistical shape knowledge in variational motion segmentation Daniel Cremers*,1
- Learning for Multi-View 3D Tracking in the Context of Particle Filters
- Reconstructing Optical Flow Fields by Motion Inpainting
- Occlusion Modeling by Tracking Multiple Objects Christian Schmaltz1, Bodo Rosenhahn2, Thomas Brox3, Joachim Weickert1,
- Nonparametric Density Estimation for Human Pose Tracking
- Variational Motion Segmentation with Level Sets Thomas Brox1
- An Enhanced Scheme to Defend against False-Endorsement-Based DoS Attacks in WSNs
- On the Appropriateness of Negative Selection defined over Hamming Shape-Space as a Network Intrusion Detection System
- Variational Methods in Computer Vision ECCV Tutorial, 5.9.2010
- Efficient Planar Graph Cuts with Applications in Computer Vision IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2009, Miami, Florida. c IEEE.
- On Permutation Masks in Hamming Negative Thomas Stibor1
- A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection
- Minimal Partitions andMinimal Partitions and the Mumford-Shah Problem
- Pattern Recognition 00 (2011) 121 Procedia Computer
- Improving the Scalability of Platform Attestation Frederic Stumpf
- The Link between r-contiguous Detectors and k-CNF Satisfiability
- A Robust Integrity Reporting Protocol for Remote Attestation
- Convex Relaxation and Daniel Cremers
- Eurographics Symposium on Geometry Processing 2011 Mario Botsch and Scott Schaefer
- DAGM 2011 Tutorial on Convex Optimization for Computer Vision
- An investigation of r-chunk detector generation on higher alphabets
- Defending against False-Endorsement-Based DoS Attacks in Wireless Sensor Networks
- Pareto Optimality in Coalition Formation Haris Aziz, Felix Brandt, and Paul Harrenstein
- Description and Objectives The CoTeSys ROS Fall School on Cognition-enabled Mobile Manipulation will introduce the
- On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition
- IEEE TRANSACTIONS ON ROBOTICS 1 Tactile Sensing for Mobile Manipulation
- (This is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached
- On a Linear Programming Approach to the Discrete Willmore Boundary Value Problem
- DAGM 2011 Tutorial on Convex Optimization for Computer Vision
- Is Negative Selection Appropriate for Anomaly Detection ? Thomas Stibor
- Variational Methods and Variational Methods in Computer Vision
- Int J Comput Vis (2011) 95:2951 DOI 10.1007/s11263-010-0404-0
- Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor
- Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution
- Towards a benchmark for RGB-D SLAM evaluation Jurgen Sturm1 Stephane Magnenat2 Nikolas Engelhard3 Francois Pomerleau2
- An appearance-based visual compass for mobile robots Jurgen Sturm
- A Formal Model for Virtual Machine Introspection Jonas Pfoh, Christian Schneider, and Claudia Eckert
- Variational Methods in Computer Vision ECCV Tutorial, 5.9.2010
- Generalized Ordering Constraints for Multilabel Optimization Evgeny Strekalovskiy and Daniel Cremers
- Space-Varying Color Distributions for Interactive Multiregion Segmentation
- Generalization Regions in Hamming Negative Thomas Stibor1
- Motion Field Estimation from Alternate Exposure Images
- Exploiting the x86 Architecture to Derive Virtual Machine State Information Jonas Pfoh, Christian Schneider, Claudia Eckert
- Grammatical Inference Algorithms in MATLAB Hasan Ibne Akram1
- Detecting Node Compromise in Hybrid Wireless Sensor Networks Using Attestation Techniques
- A Probabilistic Framework for Learning Kinematic Models of Articulated Objects
- Jrgen Sturm1, Stphane Magnenat2, Nikolas Engelhard3, Franois Pomerleau2, Francis Colas2,
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Fast Joint Estimation of Silhouettes and
- Variational Methods in Computer Vision ECCV Tutorial, 5.9.2010
- Gender-und Diversity in die Cluster
- Enhancing Trusted Platform Modules with Hardware-Based Virtualization Techniques
- STEF: A Secure Ticket-Based En-route Filtering Scheme for Wireless Sensor Networks
- Variational Methods in Computer Vision ECCV Tutorial, 5.9.2010
- Watch their Moves: Applying Probabilistic Multiple Object Tracking to Autonomous Robot Soccer
- COP-MAN --Perception for Mobile Pick-and-Place in Human Living Environments
- The AGILO Autonomous Robot Soccer Team: Computational Principles, Experiences, and Perspectives
- The Assistive Kitchen --A Demonstration Scenario for Cognitive Technical Systems
- How-Models of Human Reaching Movements in the Context of Everyday Manipulation Activities
- Understanding and Executing Instructions for Everyday Manipulation Tasks from the World Wide Web
- Designing and Implementing a Plan Library for a Simulated Household Robot Armin Muller and Michael Beetz
- Autonomous Semantic Mapping for Robots Performing Everyday Manipulation Tasks in Kitchen Environments
- Hierarchical Object Geometric Categorization and Appearance Classification for Mobile Manipulation
- ASPOGAMO: Automated Sports Game Analysis Models Michael Beetz1
- Transformational Planning for Mobile Manipulation based on Action-related Places
- Autonomous Environment and Task Adaptation for Robotic Agents
- Logic Programming with Simulation-based Temporal Projection for Everyday Robot Object Manipulation
- Learning Ability Models for Human-Robot Collaboration
- A Unified Features Approach to Human Face Image Analysis and Interpretation
- Camera-based Observation of Football Games for Analyzing Multi-agent Activities
- Convex Relaxations Variational Methods in Computer Vision
- Undefined 21-4 (2010) 1 1 Towards Automated Models of Activities of
- Variational Methods and Variational Methods for Computer Vision
- Approximating the Value Function for Continuous Space Reinforcement Learning in Robot Control
- Imitating human reaching motions using physically inspired optimization principles
- I N S T I T U T F U R I N F O R M A T I K Be a Robot -A Study on Everyday Activities
- Optimized Execution of Action Chains Using Learned Performance Models of Abstract Actions
- Towards Automated Models of Activities of Daily Life Michael Beetz, Jan Bandouch, Dominik Jain and Moritz Tenorth
- Model-based and Learned Semantic Object Labeling in 3D Point Cloud Maps of Kitchen Environments
- A Testbed for Adaptive Human-Robot Collaboration
- Fast Geometric Point Labeling using Conditional Random Fields Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, Michael Beetz
- Prediction of action outcomes using an object model Federico Ruiz-Ugalde, Gordon Cheng, Michael Beetz
- Real-Time Visual Odometry from Dense RGB-D Images Frank Steinbrcker Jrgen Sturm Daniel Cremers
- Learning to Shoot Goals Analysing the Learning Process and the
- Cooperative Probabilistic State Estimation for Vision-based Autonomous Mobile Robots
- 3D Model Selection from an Internet Database for Robotic Vision Ulrich Klank, Muhammad Zeeshan Zia and Michael Beetz
- Functional Object Mapping of Kitchen Environments Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow, Mihai Emanuel Dolha, Michael Beetz
- Aligning Point Cloud Views using Persistent Feature Histograms Radu Bogdan Rusu, Nico Blodow, Zoltan Csaba Marton, Michael Beetz
- Exploiting Human Cooperation in Human-Centered Robot Navigation Thibault Kruse, Alexandra Kirsch, E. Akin Sisbot, Rachid Alami
- 22 IEEE ROBOTICS & AUTOMATION MAGAZINE JUNE 2011 1070-9932/11/$26.002011 IEEE Digital Object Identifier 10.1109/MRA.2011.940996
- Perception State Estimators
- Developing Comprehensive State Estimators for Robot Soccer
- The TUM Kitchen Data Set of Everyday Manipulation Activities for Motion Tracking and Action Recognition
- Acquisition of a Dense 3D Model Database for Robotic Vision Muhammad Zeeshan Zia, Ulrich Klank, and Michael Beetz
- Reconstruction and Verification of 3D Object Models for Grasping
- Tailoring Action Parameterizations to Their Task Contexts Freek Stulp and Michael Beetz
- Parameterizing Actions to have the Appropriate Effects Lorenz Mosenlechner and Michael Beetz
- Structured Reactive Controllers and Transformational Planning for Manufacturing
- KI Fa c h be i t r g e 2/01 1 Introduction
- Web-enabled Robots Robots that use the Web as an Information Resource
- Optimization of Simulated Production Process Performance using Machine Learning
- Transformational Planning for Everyday Activity Armin Muller, Alexandra Kirsch and Michael Beetz
- Making Robot Learning Controllable: A Case Study in Robot Navigation Alexandra Kirsch, Michael Schweitzer, Michael Beetz
- General 3D Modelling of Novel Objects from a Single View Zoltan-Csaba Marton, Dejan Pangercic, Nico Blodow, Jonathan Kleinehellefort, Michael Beetz
- Autonomous Robots: Special Issue on Autonomous Mobile Manipulation manuscript No. (will be inserted by the editor)
- Evaluating Multi-Agent Robotic Systems Using Ground Truth
- Motion and Episode Models for (Simulated) Football Games: Acquisition, Representation, and Use
- Towards 3D Point Cloud Based Object Maps for Household Environments
- Dynamic Generation and Execution of Human Aware Navigation Plans
- AGILO RoboCuppers 2003: Computational Priciples and Research Directions
- Robotic Roommates Making Pancakes Michael Beetz, Ulrich Klank, Ingo Kresse, Alexis Maldonado, Lorenz Mosenlechner,
- Sensor-based Situated, Individualized, and Personalized Interaction in Smart Environments
- Facial Expressions Recognition from Image Sequences Zahid Riaz, Christoph Mayer, Michael Beetz and Bernd Radig
- Journal of Artificial Intelligence Research 24 (2005) 799-849 Submitted 08/04; published 12/05 Probabilistic Hybrid Action Models
- The Assistive Kitchen --A Demonstration Scenario for Cognitive Technical Systems0
- Variational Methods in Computer Vision ICCV Tutorial, 6.11.2011
- Implicit Coordination in Robotic Teams using Learned Prediction Models
- Tracking Humans Interacting with the Environment Using Efficient Hierarchical Sampling and Layered Observation Models
- An Adaptive Vision System for Tracking Soccer Players from Variable Camera Settings
- Sensor-enabled Intelligent Environments -List of Projects
- Optimized Execution of Action Chains through Subgoal Refinement Freek Stulp and Michael Beetz
- Motion estimation x 0 D. Cremers, B. Goldlucke, T. Pock
- Putting People's Common Sense into Knowledge Bases of Household Robots
- Priming Transformational Planning with Observations of Human Activities Moritz Tenorth and Michael Beetz
- Simulation-based Temporal Projection of Everyday Robot Object Manipulation
- Inferring Generalized Pick-and-Place Tasks from Pointing Gestures
- AGILO RoboCuppers 2002: Applying Cooperative Game State Estimation,
- Abstract--This paper describes an image segmentation and normalization technique using 3D point distribution model and
- Multi-Feature Fusion in Advanced Robotics Applications Zahid Riaz, Christoph Mayer, Michael Beetz,
- Fast and Robust Object Detection in Household Environments Using Vocabulary Trees with SIFT Descriptors
- 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING 1 Compact Models of Human Reaching Motions
- Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constraint
- Shape Invariant Recognition of Segmented Human Faces using Eigenfaces
- RECIPE A System for Building Extensible, Run-time Configurable, Image Processing Systems
- Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
- Object-oriented Model-based Extensions of Robot Control Languages
- Using Physics-and Sensor-based Simulation for High-fidelity Temporal Projection of Realistic Robot Behavior
- Interpretation and Processing of Position Data for the Empirical Study of the Behavior of
- Motivation Acquisition Registration Segmentation Data Postprocessing Conclusions Interpretation of Urban Scenes based on
- Feature Space Transformation using Equation Discovery Freek Stulp, Mark Pfluger, Michael Beetz
- Perception and Probabilistic Anchoring for Dynamic World State Nico Blodow, Dominik Jain, Zoltan-Csaba Marton, Michael Beetz
- AGILO RoboCuppers 2001 Utility-and Plan-based Action Selection based on
- Combining Analysis, Imitation, and Experience-based Learning to Acquire a Concept of Reachability in Robot Mobile Manipulation
- Fast Adaptation for Effect-aware Pushing. Federico Ruiz-Ugalde, Gordon Cheng, Michael Beetz
- Visually tracking football games based on TV broadcasts Michael Beetz, Suat Gedikli, Jan Bandouch,
- Introduction x 0 D. Cremers, B. Goldlucke, T. Pock
- Variational Methods in Computer Vision ICCV Tutorial, 6.11.2011
- Probabilistic Hybrid Action Models for Predicting Concurrent Percept-driven Robot Behavior
- Understanding and Executing Instructions for Everyday Manipulation Tasks from the World Wide Web
- A Model Based Approach for Expressions Invariant Face Recognition
- Designing Probabilistic State Estimators for Autonomous Robot Control
- Model Based Analysis of Face Images for Facial Feature Extraction
- How humans optimize their interaction with the environment: The impact of action context on human perception
- Towards Semantic Robot Description Languages Lars Kunze, Tobias Roehm, and Michael Beetz
- Partial View Modeling and Validation in 3D Laser Scans for Grasping Nico Blodow, Radu Bogdan Rusu, Zoltan Csaba Marton, Michael Beetz
- Learning Structured Reactive Navigation Plans from Executing MDP Navigation Policies
- Probabilistic Categorization of Kitchen Objects in Table Settings with a Composite Sensor
- Evaluation of Hierarchical Sampling Strategies in 3D Human Pose Estimation
- Seamless Execution of Action Sequences Freek Stulp, Wolfram Koska, Alexis Maldonado and Michael Beetz
- Contracting Curve Density Algorithm for Applications in Personal Robotics
- Action Awareness Enabling Agents to Optimize, Transform, and Coordinate Plans
- Controlling Image Processing: Providing Extensible, Run-time Configurable Functionality on Autonomous Robots
- On Fast Surface Reconstruction Methods for Large and Noisy Point Clouds Zoltan Csaba Marton, Radu Bogdan Rusu, Michael Beetz
- Visual Scene Detection and Interpretation using Encyclopedic Knowledge and Formal Description Logic
- Towards Practical and Grounded Knowledge Representation Systems for Autonomous Household Robots
- 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING 1 Learning and Performing Place-based Mobile Manipulation
- Combined 2D-3D Categorization and Classification for Multimodal Perception
- Learning Structured Reactive Navigation Plans from Executing MDP Navigation Policies
- KNOWROB --Knowledge Processing for Autonomous Personal Robots Moritz Tenorth and Michael Beetz
- Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model
- Experience-and Model-based Transformational Learning of Symbolic Behavior Specifications
- Towards Performing Everyday Manipulation Michael Beetz a, Dominik Jain a
- RPLLEARN: Extending an Autonomous Robot Control Language to Perform Experience-based Learning
- 3D-Based Monocular SLAM for Mobile Agents Navigating in Indoor Environments
- 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any c
- Extending Markov Logic to Model Probability Distributions in Relational Domains
- Bayesian Logic Networks (Extended Version
- A Person and Context Specific Approach for Skin Color Classification Matthias Wimmer Bernd Radig Michael Beetz
- Robotic grasping of unmodeled objects using time-of-flight range data and finger torque information
- Transparent Object Detection and Reconstruction on a Mobile Platform Ulrich Klank, Daniel Carton, Michael Beetz
- Robotic Roommates Making Pancakes -Look Into Perception-Manipulation Loop
- GrAM: Reasoning with Grounded Action Models by Combining Knowledge
- Action-Related Place-Based Mobile Manipulation Freek Stulp, Andreas Fedrizzi, Michael Beetz
- Combining Perception and Knowledge Processing for Everyday Manipulation
- Compiling AI Engineering Models for Probabilistic Paul Maier, Dominik Jain and Martin Sachenbacher
- Robots Towards Making Sense of 3D Data Nico Blodow, Zoltan-Csaba Marton, Dejan Pangercic, Michael Beetz
- Autonomous Robot Controllers Capable of Acquiring Repertoires of Complex Skills
- Semantic Object Search in Large-scale Indoor Environments Manabu Saito, Haseru Chen,
- Real-time CAD Model Matching for Mobile Manipulation and Grasping Ulrich Klank, Dejan Pangercic, Radu Bogdan Rusu, Michael Beetz
- The Wave Kernel Signature: A Quantum Mechanical Approach to Shape Analysis
- Fast Image-based Object Localization in Natural Scenes Robert Hanek, Thorsten Schmitt, Sebastian Buck, Michael Beetz
- Close-range Scene Segmentation and Reconstruction of 3D Point Cloud Maps for Mobile Manipulation in Human Environments
- Knowledge Engineering with Markov Logic Networks: A Review
- The Contracting Curve Density Algorithm: Fitting Parametric Curve Models to Images Using Local Self-adapting Separation Criteria
- Incremental Unsupervised Time Series Analysis using Merge Growing Neural Gas
- RAO-BLACKWELLIZED RESAMPLING PARTICLE FILTER FOR REAL-TIME PLAYER TRACKING IN SPORTS
- Combining Learning and Programming for High-Performance Robot Controllers
- Towards a Plan Library for Household Robots Armin Muller and Michael Beetz
- Knowledge Processing for Cognitive Robots Moritz Tenorth, Dominik Jain and Michael Beetz
- CRAM --A Cognitive Robot Abstract Machine for Everyday Manipulation in Human Environments
- Training on the Job --Collecting Experience with Hierarchical Hybrid Automata
- Towards Comprehensive Computational Models for Plan-based Control of Autonomous Robots
- Multimodal Autonomous Tool Analyses and Appropriate Application
- Poster Design & Printing by Genigraphics -800.790.4001 Outdoor Terrain Traversability Analysis
- Efficient Surface and Feature Estimation in RGBD Zoltan-Csaba Marton, Dejan Pangercic, Michael Beetz
- The Articulated Scene Model: Model-less Priors for Robot Object Learning?
- Outdoor Terrain Traversability Analysis for Robot Navigation using a Time-Of-Flight Camera
- RGB-D object recognition and localization with clutter and occlusions
- 2D/3D Object Categorization for Task Based Grasping Marianna Madry, Dan Song and Danica Kragic
- Advanced Data Terms for Variational Optic Flow Estimation Frank Steinbrucker, Thomas Pock, Daniel Cremers
- A test bench to improve registration using RGB-D Francois Pomerleau and Stephane Magnenat and Francis Colas
- Approaches to Probabilistic Model Learning
- Object Recognition Using Range Maps for Pose Estimation Euan Strachan, University of Glasgow; J.Paul Siebert, University of Glasgow
- Autonomous Corridor Flight of a UAV Using an RGB-D Camera Sven Lange Niko Sunderhauf Peer Neubert Sebastian Drews Peter Protzel
- The Elastic Ratio: Introducing Curvature into Ratio-based Image Segmentation
- RGB-D at the Robotics and State Estimation Lab
- Pixel-Based Classification Method for Detecting Unhealthy Regions in Leaf Images
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 A Combinatorial Solution for Model-based
- The PR2 Workshop -Mobile Manipulation of Kitchen Containers Jan Becker, Christian Bersch, Dejan Pangercic, Benjamin Pitzer, Thomas Ruhr, Bharath Sankaran,
- Efficient Surface and Feature Estimation in Zoltan-Csaba Marton, Dejan Pangercic, Michael Beetz
- Munich Aerospace Open PhD Position Fast Solvers: Algorithms, Software and Hardware Solu-
- Acting and Interacting in the Real World Jeannette Bohg, Niklas Bergstrom, Marten Bjorkman and Danica Kragic
- Autonomous Corridor Flight of a UAV Using an RGB-D Camera
- 2.5D Local Feature Matching System Euan Strachan, Dr J.Paul Siebert
- FAB-MAP 3D: Topological Mapping with Spatial and Visual Appearance
- Dear Massimo Fornasier, on behalf of all members of the SIMAI Board, I am pleased to tell you that you have been
- Sequential Monte Carlo Method for the iFilter Marek Schikora, Wolfgang Koch
- Linearly Constrained Nonsmooth and Nonconvex Minimization
- An Evaluation of the RGB-D SLAM System Felix Endres1 Jrgen Hess1 Nikolas Engelhard1
- THE NATURAL VECTORIAL TOTAL VARIATION WHICH ARISES FROM GEOMETRIC MEASURE THEORY
- MULTI-OBJECT TRACKING VIA HIGH ACCURACY OPTICAL FLOW AND FINITE SET Marek Schikora, Wolfgang Koch
- Convexity in Image-Based 3D Surface Reconstruction
- Acting and Interacting in the Real World Jeannette Bohg, Niklas Bergstrom, Marten Bjorkman and Danica
- Evaluation of 3D Model Accuracy for Automated Unloading of Containers Alice Kirchheim*, Wolfgang Echelmeyer*, Todor Stoyanov#
- A test bench to improve registration using RGB-D sensors
- Evaluation of 3D Model Accuracy for Automated Unloading of Containers
- SCHOENEMANN AND CREMERS: A CODING COST FRAMEWORK FOR SUPER-RESOLUTION MOTION LAYER DECOMPOSITION 1 A Coding Cost Framework for
- Multiple Source Localization Based on Biased Bearings Using the Intensity Filter
- PARTICLE SYSTEMS AND KINETIC EQUATIONS MODELING INTERACTING AGENTS IN HIGH DIMENSION
- Rohan Paul and Paul Newman Rohan Paul and Paul Newman
- A Generalized Framework for Opening Doors and Drawers in Kitchen Environments
- Noname manuscript No. (will be inserted by the editor)