J. Piater

发表

Fast Computation of Characteristic Scale Using a Half-Octave Pyramid

J. Crowley, Olivier Ri, J. Piater, 2002 .

Closed-Loop Learning of Visual Control Policies pdf

Justus H. Piater, Sébastien Jodogne, J. Piater, 2011, J. Artif. Intell. Res..

Apprentissage Interactif de Liaisons Directes entre Perceptions Visuelles et Actions

J. Piater, S. Jodogne, 2005 .

Object-Action Complexes: Grounded abstractions of sensory-motor processes

Mark Steedman, Christopher W. Geib, Ales Ude, 2011, Robotics Auton. Syst..

Autonomous Learning of Object-specific Grasp Affordance Densities

N. Krüger, J. Piater, R. Detry, 2009 .

Structural Bootstrapping—A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge

Christopher W. Geib, Ales Ude, Eren Erdal Aksoy, 2015, IEEE Transactions on Autonomous Mental Development.

Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot

Justus H. Piater, Roderic A. Grupen, Jefferson A. Coelho, 2001, Robotics Auton. Syst..

Adapting Preshaped Grasping Movements Using Vision Descriptors

Oliver Kroemer, Justus H. Piater, Jan Peters, 2010, SAB.

Learning grasp affordance densities

Oliver Kroemer, Justus H. Piater, Dirk Kraft, 2011, Paladyn J. Behav. Robotics.

Combining active learning and reactive control for robot grasping

Oliver Kroemer, Justus H. Piater, Jan Peters, 2010, Robotics Auton. Syst..

Generalizing grasps across partly similar objects

Danica Kragic, Justus H. Piater, Carl Henrik Ek, 2012, 2012 IEEE International Conference on Robotics and Automation.

Multi-Modal Tracking of Interacting Targets Using Gaussian Approximations

J. Crowley, J. Piater, 2001 .

Active learning using mean shift optimization for robot grasping

Oliver Kroemer, Justus H. Piater, Jan Peters, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?

Sinan Kalkan, Justus H. Piater, Ales Leonardis, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Refining grasp affordance models by experience

Justus H. Piater, Dirk Kraft, Norbert Krüger, 2010, 2010 IEEE International Conference on Robotics and Automation.

Statistical Learning of Visual Feature Hierarchies

Justus H. Piater, Fabien Scalzo, J. Piater, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

A Probabilistic Framework for 3D Visual Object Representation

Justus H. Piater, Nicolas Pugeault, Renaud Detry, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Simple Ontology of Manipulation Actions Based on Hand-Object Relations

Ales Ude, Eren Erdal Aksoy, Minija Tamosiunaite, 2013, IEEE Transactions on Autonomous Mental Development.

Grasping with Vision Descriptors and Motor Primitives

Oliver Kroemer, Justus H. Piater, Jan Peters, 2010, ICINCO.

Teaching a Robot the Semantics of Assembly Tasks

Carme Torras, Ales Ude, Eren Erdal Aksoy, 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Early Cognitive Vision as a Frontend for Cognitive Systems

Danica Kragic, Florentin Wörgötter, Sinan Kalkan, 2010 .

Active learning of manipulation sequences

Carme Torras, Eren Erdal Aksoy, Justus H. Piater, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Symbol Emergence in Cognitive Developmental Systems: A Survey

Florentin Wörgötter, Takayuki Nagai, Emre Ugur, 2018, IEEE Transactions on Cognitive and Developmental Systems.

University of Southern Denmark Object-Action Complexes : Grounded Abstractions of Sensorimotor Processes

Ronald P. A. Petrick, N. Krüger, F. Wörgötter, 2011 .

2 Reinforcement Learning 2 . 1 Markov Decision Processes

J. Piater, S. Jodogne, 2004 .

Autonomous robots : Potential , advances and future directions

J. Piater, Emre Ugur, Simon Hangl, 2017 .

Learning Real-time Strategies for Binocular Vergence Learning Real-time Strategies for Binocular Vergence

R. Grupen, J. Piater, K. Ramamritham, 1999 .

Developing Hapti and Visual Per eptualCategories for Rea hing and Grasping with aHumanoid

R. Grupen, J. Piater, RobotJe erson Coelho, 2000 .

Implicit Learning of Simpler Output Kernels for Multi-Label Prediction

J. Piater, S. Szedmák, Hanchen Xiong, 2014 .

Scale-Invariant , Unsupervised Part Decomposition of 3 D Objects

Safoura Rezapour Lakani, J. Piater, A. Rodríguez-Sánchez, 2014 .

Evaluating Planning for Policy Search

Jakob J. Hollenstein, J. Piater, 2019 .

Grasp Affordance Densities

J. Peters, N. Krüger, J. Piater, 2011 .

Using multi-modal 3D contours and their relations for vision and robotics

Sinan Kalkan, Justus H. Piater, Norbert Krüger, 2010, J. Vis. Commun. Image Represent..

Acting on Push Affordances : Adapting Dynamic Movement Primitives Based on Object Behaviour

J. Piater, Emre Ugur, S. Krivic, 2015 .

A Framework For Humanoid Control andIntelligen

R. Grupen, M. Huber, A. Fagg, 2007 .

Syddansk Universitet Structural Bootstrapping A Novel , Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge Wörgötter

N. Krüger, J. Piater, A. Ude, 2015 .

Deep Hierarchies in the Primate Visual Cortex What Can We Learn For Computer Vision?

A. Leonardis, Laurenz Wiskott, N. Krüger, 2013 .

Interactive Learning of Direct Mappings between Visual Percepts and Actions

J. Piater, S. Jodogne, 2005 .

3 D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields ?

J. Piater, S. Szedmák, Hanchen Xiong, 2013 .

The Baystate Stroke Project: Getting Started on Segmentation of Stroke Lesions

J. Piater, 1996 .

Sign Object Interpretant Symbol Reference ( Signifier ) Referent ( Signified ) “ Apple ”

F. Wörgötter, Benjamin Rosman, J. Piater, 2018 .

Report from Dagstuhl Seminar 15411 Multimodal Manipulation Under Uncertainty

Jan Peters, S. Srinivasa, Robert W. Platt, 2016 .

DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning pdf

Emre Ugur, Serkan Bugur, Alper Ahmetoglu, 2020, ArXiv.

Evaluating the progress of deep learning for visual relational concepts pdf

Sebastian Stabinger, Justus Piater, Antonio Rodr'iguez-S'anchez, 2020, Journal of vision.

Learning Grasp A ordance Densities

J. Peters, N. Krüger, J. Piater, 2022 .

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance

Jakob J. Hollenstein, J. Piater, Erwan Renaudo, 2022, ArXiv.

Learning, then Compacting Visual Policies

Sébastien Jodogne, Justus Piater, J. Piater, 2005 .

Computer Vision Systems: Seventh International Conference

Bernt Schiele, Mario Fritz, Justus Piater, 2009 .

Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization

J. Piater, David Peer, Sebastian Stabinger, 2022, Trans. Mach. Learn. Res..

Computer Vision Systems: Third International Conference

Markus Vincze, James L. Crowley, Lucas Paletta, 2003 .

Software - Robust Real-Time Baysian Tracking

James L. Crowley, Justus Piater, Stephane Richetto, 2007 .

International Conference on Vision Systems

James L. Crowley, Justus Piater, J. Crowley, 2004 .

Introduction to the special issue: International Conference on Vision Systems

Justus H. Piater, James L. Crowley, J. Crowley, 2004, Machine Vision and Applications.

Proceedings of the 3rd international conference on Computer vision systems

Markus Vincze, James L. Crowley, Lucas Paletta, 2003 .

Software - CAR: Robust Real-Time Detection and Tracking

James L. Crowley, Justus Piater, Stephane Richetto, 2006 .

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance

Jakob J. Hollenstein, J. Piater, Erwan Renaudo, 2022, ArXiv.

ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture

J. Piater, R. Duro, F. Bellas, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems

Bernt Schiele, Mario Fritz, Justus Piater, 2009 .

Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liège, Belgium, October 13-15, 2009, Proceedings

Bernt Schiele, Mario Fritz, Justus Piater, 2009, International Conference on Virtual Storytelling.

Continual Learning from Demonstration of Robotic Skills

Jakob J. Hollenstein, J. Piater, Matteo Saveriano, 2022, ArXiv.

Towards affordance detection for robot manipulation using affordance for parts and parts for affordance

J. Piater, A. Rodríguez-Sánchez, Safoura Rezapour Lakani, 2018, Autonomous Robots.

Pushing corridors for delivering unknown objects with a mobile robot

J. Piater, S. Krivic, 2018, Autonomous Robots.

An empirical comparison of machine learning algorithms for generic image classification

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2003 .

Autonomous robots: potential, advances and future direction

J. Piater, Emre Ugur, Simon Hangl, 2017, e & i Elektrotechnik und Informationstechnik.

Learning V4 Curvature Cell Populations from Sparse Endstopped Cells

Justus H. Piater, Hanchen Xiong, Antonio Jose Rodríguez-Sánchez, 2016, ICANN.

Interactive learning of mappings from visual percepts to actions

Justus H. Piater, Sébastien Jodogne, J. Piater, 2005, ICML.

Task-Driven Learning of Spatial Combinations of Visual Features

Justus H. Piater, Sébastien Jodogne, Fabien Scalzo, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Reinforcement Learning of Perceptual Classes using Q Learning Updates

Justus H. Piater, Sébastien Jodogne, J. Piater, 2005, Artificial Intelligence and Applications.

Interactive Selection of Visual Features through Reinforcement Learning

Justus H. Piater, Sébastien Jodogne, J. Piater, 2004, SGAI Conf..

Constructive Feature Learning and the Development of Visual Expertise

Justus H. Piater, Roderic A. Grupen, R. Grupen, 2000, ICML.

Models of the Visual Cortex for Object Representation: Learning and Wired Approaches

Justus H. Piater, Antonio Jose Rodríguez-Sánchez, J. Piater, 2013, BrainComp.

Exercising Affordances of Objects: A Part-Based Approach

Justus Piater, Safoura Rezapour Lakani, Antonio J. Rodríguez-Sánchez, 2018, IEEE Robotics and Automation Letters.

Affordances in Psychology, Neuroscience, and Robotics: A Survey

Angelo Cangelosi, Luciano Fadiga, Emre Ugur, 2018, IEEE Transactions on Cognitive and Developmental Systems.

Integrating multi-purpose natural language understanding, robot's memory, and symbolic planning for task execution in humanoid robots

Justus H. Piater, Dirk Kraft, Norbert Krüger, 2018, Robotics Auton. Syst..

Computational models of affordance in robotics: a taxonomy and systematic classification

Justus H. Piater, Philipp Zech, Emre Ugur, 2017, Adapt. Behav..

Can Affordances Guide Object Decomposition into Semantically Meaningful Parts?

Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Safoura Rezapour Lakani, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

FlexRoP – flexible, assistive robots for customized production

Michael Hofmann, Xiang Zhang, Justus Piater, 2018, Proceedings of the Austrian Robotics Workshop 2018.

Evaluating the progress of deep learning for visual relational concepts

J. Piater, A. Rodr'iguez-S'anchez, Sebastian Stabinger, 2020, Journal of vision.

25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? pdf

Justus H. Piater, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, 2016, ICANN.

Hand Modeling and Tracking for Video-Based Sign Language Recognition by Robust Principal Component Analysis

Justus H. Piater, Wei Du, J. Piater, 2010, ECCV Workshops.

Learning Continuous Grasp Affordances by Sensorimotor Exploration

Oliver Kroemer, Justus H. Piater, Norbert Krüger, 2010, From Motor Learning to Interaction Learning in Robots.

Multi-view Object Tracking Using Sequential Belief Propagation

Justus H. Piater, Wei Du, J. Piater, 2006, ACCV.

Data Fusion by Belief Propagation for Multi-Camera Tracking

Justus H. Piater, Wei Du, J. Piater, 2006, 2006 9th International Conference on Information Fusion.

Collaborative Multi-Camera Tracking of Athletes in Team Sports

Jean-Bernard Hayet, Jacques Verly, Wei Du, 2006 .

A modular multi-camera framework for team sports tracking

Justus H. Piater, Benoit M. Macq, Jean-Bernard Hayet, 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

Title of the deliverable: The Integration of Objects and Action Plans

Danica Kragic, Tamim Asfour, Bernhard Hommel, 2004 .

Learning missing edges via kernels in partially-known graphs

Justus H. Piater, Hanchen Xiong, Senka Krivic, 2015, ESANN.

Random subwindows for robust image classification

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Decision Trees and Random Subwindows for Object Recognition

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2005 .

A generic approach for image classification based on decision tree ensembles and local sub-windows

Raphaël Marée, Louis Wehenkel, Justus Piater, 2004 .

A Comparison of Generic Machine Learning Algorithms for Image Classification

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2003, SGAI Conf..

Enhancing gloss-based corpora with facial features using active appearance models

Hermann Ney, Oscar Koller, Christoph Schmidt, 2013 .

Learning Movement Assessment Primitives for Force Interaction Skills pdf

Xiang Zhang, Justus H. Piater, Athanasios S. Polydoros, 2018, ArXiv.

Action representations in robotics: A taxonomy and systematic classification

Xiang Zhang, Justus H. Piater, Philipp Zech, 2018, Int. J. Robotics Res..

Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects

Justus H. Piater, Heiko Neumann, Antonio Jose Rodríguez-Sánchez, 2014, KI - Künstliche Intelligenz.

Negotiating Instruction Strategies during Robot Action Demonstration

Justus H. Piater, Kerstin Fischer, Lars Christian Jensen, 2015, HRI.

Robust Non-rigid Object Tracking Using Point Distribution Manifolds

Justus H. Piater, Tom Mathes, J. Piater, 2006, DAGM-Symposium.

Robust Non-Rigid Object Tracking Using Point Distribution Models

Justus H. Piater, Tom Mathes, J. Piater, 2005, BMVC.

Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition

Hans J. Briegel, Vedran Dunjko, Justus Piater, 2020, Frontiers in Robotics and AI.

Using structural bootstrapping for object substitution in robotic executions of human-like manipulation tasks

Eren Erdal Aksoy, Florentin Wörgötter, Alejandro Agostini, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning probabilistic discriminative models of grasp affordances under limited supervision

Oliver Kroemer, Justus H. Piater, Yasemin Altun, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions

Justus H. Piater, Sébastien Jodogne, J. Piater, 2006, ECML.

Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks

Justus H. Piater, Sébastien Jodogne, Cyril Briquet, 2006, ECML.

Unsupervised Learning of Visual Feature Hierarchies

Justus H. Piater, Fabien Scalzo, J. Piater, 2005, MLDM.

A Push-Pull CORF Model of a Simple Cell with Antiphase Inhibition Improves SNR and Contour Detection

George Azzopardi, Nicolai Petkov, Justus Piater, 2014, PloS one.

Exploration and Planning in a Three-Level Cognitive Architecture

Mark Steedman, Rüdiger Dillmann, Christopher W. Geib, 2008 .

Development of Object and Grasping Knowledge by Robot Exploration

Justus H. Piater, Dirk Kraft, Norbert Krüger, 2010, IEEE Transactions on Autonomous Mental Development.

Autonomous robots: potential, advances and future direction

Justus H. Piater, Emre Ugur, Simon Hangl, 2017 .

Distinctive Features Should Be Learned

Justus H. Piater, Roderic A. Grupen, R. Grupen, 2000, Biologically Motivated Computer Vision.

Toward learning visual discrimination strategies

Justus H. Piater, Roderic A. Grupen, R. Grupen, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation

Justus H. Piater, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search pdf

Matteo Saveriano, Justus Piater, Erwan Renaudo, 2020, ArXiv.

Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection

Emre Ugur, Justus Piater, J. Piater, 2017, IEEE Transactions on Cognitive and Developmental Systems.

Using Machine Learning for Decreasing State Uncertainty in Planning

Justus H. Piater, Senka Krivic, Daniele Magazzeni, 2020, J. Artif. Intell. Res..

Learning visual representations for perception-action systems

Oliver Kroemer, Justus H. Piater, Dirk Kraft, 2011, Int. J. Robotics Res..

A Framework For Humanoid Control and Intelligence

Oliver Brock, Robert Platt, Roderic A. Grupen, 2003 .

Probabilistic Pose Recovery Using Learned Hierarchical Object Models

Justus H. Piater, Nicolas Pugeault, Renaud Detry, 2009, ICVW.

Hierarchical Integration of Local 3D Features for Probabilistic Pose Recovery

Justus Piater, Renaud Detry, J. Piater, 2007 .

Diversity priors for learning early visual features

Justus H. Piater, Hanchen Xiong, Antonio Jose Rodríguez-Sánchez, 2015, Front. Comput. Neurosci..

It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration

Justus H. Piater, Kerstin Fischer, Lars Christian Jensen, 2017, HRI.

Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges

Justus H. Piater, Damien Teney, J. Piater, 2012, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission.

Multi-label Object Categorization Using Histograms of Global Relations

Justus H. Piater, Hanchen Xiong, Dirk Kraft, 2015, 2015 International Conference on 3D Vision.

A Study of Point Cloud Registration with Probability Product Kernel Functions

Justus H. Piater, Hanchen Xiong, Sándor Szedmák, 2013, 2013 International Conference on 3D Vision.

On-Line Rectification of Sport Sequences with Moving Cameras

J. Piater, J. Hayet, 2007, MICAI.

Overview of our approach 2 Line Tracking ( LT ) : Updating of Homographies

J. Piater, J. Hayet, 2007 .

Autonomous Object Handover Using Wrist Tactile Information

Kaspar Althoefer, Justus H. Piater, Senka Krivic, 2017, TAROS.

The Effects of Social Gaze in Human-Robot Collaborative Assembly

Justus H. Piater, Kerstin Fischer, Sebastian Stabinger, 2015, ICSR.

DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning

J. Piater, E. Oztop, Emre Ugur, 2020, ArXiv.

Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning

Justus H. Piater, Emre Ugur, J. Piater, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Emergent structuring of interdependent affordance learning tasks

Justus H. Piater, Emre Ugur, J. Piater, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Proactive, incremental learning of gesture-action associations for human-robot collaboration

Justus H. Piater, Özgür Erkent, Dadhichi Shukla, 2017, 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Probabilistic Detection of Pointing Directions for Human-Robot Interaction

Justus H. Piater, Özgür Erkent, Dadhichi Shukla, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Using viseme recognition to improve a sign language translation system

Hermann Ney, Oscar Koller, Christoph Schmidt, 2013, IWSLT.

Feature learning for recognition with Bayesian networks

Justus H. Piater, Roderic A. Grupen, R. Grupen, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

A Framework for Learning Visual Discrimination

Justus H. Piater, Roderic A. Grupen, R. Grupen, 1999, FLAIRS.

Learning Appearance Features to Support Robotic Manipulation

Justus Piater, J. Piater, 2002 .

Learning real-time stereo vergence control

Roderic A. Grupen, Krithi Ramamritham, Justus Piater, 1999, Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014).

Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects

H. Neumann, J. Piater, A. Rodríguez-Sánchez, 2015, KI - Künstliche Intelligenz.

Pushing corridors for delivering unknown objects with a mobile robot

Senka Krivic, Justus Piater, J. Piater, 2018, Auton. Robots.

Kronecker Decomposition for Image Classification

Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, 2016, CLEF.

IIS at ImageCLEF 2015: Multi-label Classification Task

Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, 2015, CLEF.

Combining decision making and dynamical systems for monitoring and executing manipulation tasks

Justus H. Piater, Matteo Saveriano, J. Piater, 2020, e & i Elektrotechnik und Informationstechnik.

A Randomized ANOVA Procedure for Comparing Performance Curves

Xiaoqin Zhang, Paul R. Cohen, Justus H. Piater, 1997, ICML.

A Formal Definition of Object-Action Complexes and Examples at Different Levels of the Processing Hierarchy

Ronald P. A. Petrick, C. Torras, N. Krüger, 2009 .

Towards affordance detection for robot manipulation using affordance for parts and parts for affordance

Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Safoura Rezapour Lakani, 2018, Auton. Robots.

Grasp Densities for Grasp Refinement in Industrial Bin Picking

Dirk Kraft, Leon Bodenhagen, Justus Piater, 2011, ICRA 2011.

Biomedical Image Classification with Random Subwindows and Decision Trees

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2005, CVBIA.

Refining discovered symbols with multi-step interaction experience

Justus H. Piater, Emre Ugur, J. Piater, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields

Justus H. Piater, Hanchen Xiong, Sándor Szedmák, 2013, GCPR.

Integration of Probabilistic Pose Estimates from Multiple Views

Justus H. Piater, Özgür Erkent, Dadhichi Shukla, 2016, ECCV.

Active and Transfer Learning of Grasps by Sampling from Demonstration pdf

Justus H. Piater, Philipp Zech, J. Piater, 2016, ArXiv.

Grasp Learning by Sampling from Demonstration pdf

Justus H. Piater, Philipp Zech, J. Piater, 2016, ArXiv.

Learning Objects and Grasp Affordances through Autonomous Exploration

Justus H. Piater, Dirk Kraft, Norbert Krüger, 2009, ICVS.

Learning object-specific grasp affordance densities

N. Kruger, R. Detry, E. Baseski, 2009, 2009 IEEE 8th International Conference on Development and Learning.

Can Expressive Posterior Approximations Improve Variational Continual Learning?

Jakob J. Hollenstein, J. Piater, A. Rodríguez-Sánchez, 2020 .

General Object Tip Detection and Pose Estimation for Robot Manipulation

Justus H. Piater, Özgür Erkent, Dadhichi Shukla, 2015, ICVS.

Symbol Emergence in Cognitive Developmental Systems: A Survey

F. Wörgötter, Benjamin Rosman, J. Piater, 2018, IEEE Transactions on Cognitive and Developmental Systems.

Bootstrapping paired-object affordance learning with learned single-affordance features

Justus H. Piater, Emre Ugur, Sándor Szedmák, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Knowledge propagation and relation learning for predicting action effects

Justus H. Piater, Emre Ugur, Sándor Szedmák, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A multi-view hand gesture RGB-D dataset for human-robot interaction scenarios

Justus H. Piater, Özgür Erkent, Dadhichi Shukla, 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks

Hector M. Perez-Villeda, J. Piater, Matteo Saveriano, 2022, Robotics Auton. Syst..

The State of the Art in Multiple Object Tracking Under Occlusion in Video Sequences

Jacques Verly, Justus Piater, Pierre F. Gabriel, 2003 .

Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition

Justus H. Piater, Renaud Detry, J. Piater, 2010, ACCV.

RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus

Hermann Ney, Justus H. Piater, Jens Forster, 2012, LREC.

Multiview feature distributions for object detection and continuous pose estimation

Justus H. Piater, Damien Teney, J. Piater, 2014, Comput. Vis. Image Underst..

Conditional Neural Movement Primitives

Emre Ugur, Muhammet Yunus Seker, Mert Imre, 2019, Robotics: Science and Systems.

Can computer vision problems benefit from structured hierarchical classification?

Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Thomas Hoyoux, 2015, Machine Vision and Applications.

Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity pdf

Justus H. Piater, Hans-J. Briegel, Vedran Dunjko, 2017, ArXiv.

Robotic playing for hierarchical complex skill learning

Justus H. Piater, Emre Ugur, Sándor Szedmák, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Planning readings: a comparative exploration of basic algorithms

Justus H. Piater, J. Piater, 2009, Comput. Sci. Educ..

Object tracking using color interest points

Justus H. Piater, Jean-Bernard Hayet, Jacques G. Verly, 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

Ground-Target Tracking in Multiple Cameras Using Collaborative Particle Filters and Principal Axis-Based Integration

Justus H. Piater, Wei Du, Jean-Bernard Hayet, 2009, IPSJ Trans. Comput. Vis. Appl..

A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking

Justus H. Piater, Wei Du, J. Piater, 2008, ECCV.

A novel Skill-based Programming Paradigm based on Autonomous Playing and Skill-centric Testing pdf

Justus H. Piater, Simon Hangl, Andreas Mennel, 2017, ArXiv.

Scalable, accurate image annotation with joint SVMs and output kernels

Justus H. Piater, Hanchen Xiong, Sándor Szedmák, 2015, Neurocomputing.

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?

A. Leonardis, Laurenz Wiskott, N. Krüger, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models

Justus H. Piater, Fabien Scalzo, J. Piater, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Human Smile Distinguishes between Collaborative and Solitary Tasks in Human-Robot Interaction

Justus H. Piater, Kerstin Fischer, Özgür Erkent, 2015, HRI.

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance

Jakob J. Hollenstein, J. Piater, Erwan Renaudo, 2022, Trans. Mach. Learn. Res..

Unsupervised Learning of Dense Hierarchical Appearance Representations

F. Scalzo, J.H. Piater, J. Piater, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Applying a learning framework for improving success rates in industrial bin picking

Jimmy A. Jørgensen, Henrik Gordon Petersen, Justus H. Piater, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Descriptor of Constrained Task from Demonstration pdf

Matteo Saveriano, Justus Piater, Xiang Zhang, 2021, ArXiv.

Manipulation Planning Using Object-Centered Predicates and Hierarchical Decomposition of Contextual Actions

Alejandro Agostini, Matteo Saveriano, Dongheui Lee, 2020, IEEE Robotics and Automation Letters.

Continual Learning from Demonstration of Robotic Skills

Jakob J. Hollenstein, J. Piater, Matteo Saveriano, 2022, Robotics Auton. Syst..

Reactive, task-specific object manipulation by metric reinforcement learning

Ales Ude, Justus H. Piater, Emre Ugur, 2015, 2015 International Conference on Advanced Robotics (ICAR).

Learning undirected graphical models using persistent sequential Monte Carlo

Justus H. Piater, Hanchen Xiong, Sándor Szedmák, 2016, Machine Learning.

A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines

Florentin Wörgötter, Justus H. Piater, Tobias Brinker, 2020, ROBOVIS.

Bundle Adjustment

Justus H. Piater, J. Piater, 2017, Encyclopedia of GIS.

Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration

Justus H. Piater, Wei Du, J. Piater, 2007, ACCV.

The SignSpeak Project - Bridging the Gap Between Signers and Speakers

Hermann Ney, Justus H. Piater, Gregorio Martínez Pérez, 2010, LREC.

Signspeak--understanding, recognition, and translation of sign languages

Hermann Ney, Thomas Hoyoux, Onno Crasborn, 2010 .

SCurV: A 3D descriptor for object classification

Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Initial State Prediction in Planning

Justus H. Piater, Senka Krivic, Daniele Magazzeni, 2017, AAAI Workshops.

Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features

Matteo Saveriano, Justus Piater, Pilar de la Cruz, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Differentiable Forward Kinematics for TensorFlow 2

Jakob J. Hollenstein, J. Piater, Lukas Mölschl, 2023, ArXiv.

Continual Domain Randomization

J. Piater, Josip Josifovski, M. Malmir, 2024, ArXiv.

Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration

J. Piater, S. Auddy, Sebastian Bergner, 2023, ArXiv.

Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model

Jakob J. Hollenstein, J. Piater, S. Auddy, 2023, ArXiv.