A Randomized ANOVA Procedure for Comparing Performance Curves. - Justus H. Piater; Paul R. Cohen; Xiaoqin Zhang 001; Michael Atighetchi (ICML, 1998)

Building pixel classifiers using the interactive teacher/learner (ITL) system. - Justus H. Piater; Adriana Mincheva (WACV, 1998)

Toward Learning Visual Discrimination Strategies. - Justus H. Piater; Roderic A. Grupen (CVPR, 1999)

A Framework for Learning Visual Discrimination. - Justus H. Piater; Roderic A. Grupen (FLAIRS, 1999)

Interactively Training Pixel Classifiers. - Justus H. Piater; Edward M. Riseman; Paul E. Utgoff (Int. J. Pattern Recognit. Artif. Intell., 1999)

Distinctive Features Should Be Learned. - Justus H. Piater; Roderic A. Grupen (Biologically Motivated Computer Vision, 2000)

Constructive Feature Learning and the Development of Visual Expertise. - Justus H. Piater; Roderic A. Grupen (ICML, 2000)

Feature Learning for Recognition with Bayesian Networks. - Justus H. Piater; Roderic A. Grupen (ICPR, 2000)

Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot. - Jefferson A. Coelho Jr.; Justus H. Piater; Roderic A. Grupen (Robotics Auton. Syst., 2001)

A Comparison of Generic Machine Learning Algorithms for Image Classification. - Raphaël Marée; Pierre Geurts; Giorgio Visimberga; Justus H. Piater; Louis Wehenkel (SGAI Conf., 2003)

Robust incremental rectification of sports video sequences. - Jean-Bernard Hayet; Justus H. Piater; Jacques G. Verly (BMVC, 2004)

Interactive Selection of Visual Features through Reinforcement Learning. - Sébastien Jodogne; Justus H. Piater (SGAI Conf., 2004)

Introduction to the special issue: International Conference on Vision Systems. - James L. Crowley; Justus H. Piater (Mach. Vis. Appl., 2004)

Reinforcement Learning of Perceptual Classes using Q Learning Updates. - Sébastien Jodogne; Justus H. Piater (Artificial Intelligence and Applications, 2005)

Tracking by cluster analysis of feature points using a mixture particle filter. - Wei Du 006; Justus H. Piater (AVSS, 2005)

Object tracking using color interest points. - Pierre Fatrus Gabriel; Jean-Bernard Hayet; Justus H. Piater; Jacques G. Verly (AVSS, 2005)

A modular multi-camera framework for team sports tracking. - Jean-Bernard Hayet; Tom Mathes; Jacek Czyz; Justus H. Piater; Jacques G. Verly; Benoît Macq (AVSS, 2005)

Robust Non-Rigid Object Tracking Using Point Distribution Models. - Tom Mathes; Justus H. Piater (BMVC, 2005)

Biomedical Image Classification with Random Subwindows and Decision Trees. - Raphaël Marée; Pierre Geurts; Justus H. Piater; Louis Wehenkel (CVBIA, 2005)

Task-Driven Learning of Spatial Combinations of Visual Features. - Sébastien Jodogne; Fabien Scalzo; Justus H. Piater (CVPR Workshops, 2005)

Random Subwindows for Robust Image Classification. - Raphaël Marée; Pierre Geurts; Justus H. Piater; Louis Wehenkel (CVPR (1), 2005)

Statistical Learning of Visual Feature Hierarchies. - Fabien Scalzo; Justus H. Piater (CVPR Workshops, 2005)

Tracking by Cluster Analysis of Feature Points and Multiple Particle Filters. - Wei Du 006; Justus H. Piater (ICAPR (2), 2005)

Fast 2D model-to-image registration using vanishing points for sports video analysis. - Jean-Bernard Hayet; Justus H. Piater; Jacques G. Verly (ICIP (3), 2005)

Interactive learning of mappings from visual percepts to actions. - Sébastien Jodogne; Justus H. Piater (ICML, 2005)

Unsupervised Learning of Visual Feature Hierarchies. - Fabien Scalzo; Justus H. Piater (MLDM, 2005)

Multi-view Object Tracking Using Sequential Belief Propagation. - Wei Du 006; Justus H. Piater (ACCV (1), 2006)

Robust Non-rigid Object Tracking Using Point Distribution Manifolds. - Tom Mathes; Justus H. Piater (DAGM-Symposium, 2006)

Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks. - Sébastien Jodogne; Cyril Briquet; Justus H. Piater (ECML, 2006)

Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions. - Sébastien Jodogne; Justus H. Piater (ECML, 2006)

Data Fusion by Belief Propagation for Multi-Camera Tracking. - Wei Du 006; Justus H. Piater (FUSION, 2006)

Unsupervised Learning of Dense Hierarchical Appearance Represe. - Fabien Scalzo; Justus H. Piater (ICPR (2), 2006)

Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration. - Wei Du 006; Justus H. Piater (ACCV (1), 2007)

On-line Simultaneous Learning and Tracking of Visual Feature Graphs. - Arnaud Declercq; Justus H. Piater (CVPR, 2007)

Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models. - Fabien Scalzo; Justus H. Piater (CVPR, 2007)

Sequential variational inference for distributed multi-sensor tracking and fusion. - Wei Du 006; Justus H. Piater (FUSION, 2007)

On-Line Rectification of Sport Sequences with Moving Cameras. - Jean-Bernard Hayet; Justus H. Piater (MICAI, 2007)

Non-rigid object tracker based on a robust combination of parametric active contour and point distribution model. - Joanna Isabelle Olszewska; Tom Mathes; Christophe De Vleeschouwer; Justus H. Piater; Benoît Macq (VCIP, 2007)

Closed-Loop Learning of Visual Control Policies. - Sébastien Jodogne; Justus H. Piater (J. Artif. Intell. Res., 2007)

A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking. - Wei Du 006; Justus H. Piater (ECCV (2), 2008)

Probabilistic Pose Recovery Using Learned Hierarchical Object Models. - Renaud Detry; Nicolas Pugeault; Justus H. Piater (ICVW, 2008)

Online Learning of Gaussian Mixture Models - a Two-Level Approach. - Arnaud Declercq; Justus H. Piater (VISAPP (1), 2008)

Learning Objects and Grasp Affordances through Autonomous Exploration. - Dirk Kraft; Renaud Detry; Nicolas Pugeault; Emre Baseski; Justus H. Piater; Norbert Krüger (ICVS, 2009)

Active learning using mean shift optimization for robot grasping. - Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters 001 (IROS, 2009)

Using 3D contours and their relations for cognitive vision and robotics. - Emre Baseski; Leon Bodenhagen; Nicolas Pugeault; Sinan Kalkan; Justus H. Piater; Norbert Krüger (ISCIS, 2009)

Learning Visual Representations for Interactive Systems. - Justus H. Piater; Sébastien Jodogne; Renaud Detry; Dirk Kraft; Norbert Krüger; Oliver Krömer; Jan Peters 001 (ISRR, 2009)

Planning readings: a comparative exploration of basic algorithms. - Justus H. Piater (Comput. Sci. Educ., 2009)

Ground-Target Tracking in Multiple Cameras Using Collaborative Particle Filters and Principal Axis-Based Integration. - Wei Du 006; Jean-Bernard Hayet; Jacques G. Verly; Justus H. Piater (IPSJ Trans. Comput. Vis. Appl., 2009)

A Probabilistic Framework for 3D Visual Object Representation. - Renaud Detry; Nicolas Pugeault; Justus H. Piater (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Affine Warp Propagation for Fast Simultaneous Modelling and Tracking of Articulated Objects. - Arnaud Declercq; Justus H. Piater (ACCV (3), 2010)

Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition. - Renaud Detry; Justus H. Piater (ACCV (3), 2010)

Hand Modeling and Tracking for Video-Based Sign Language Recognition by Robust Principal Component Analysis. - Wei Du 006; Justus H. Piater (ECCV Workshops (1), 2010)

Grasping with Vision Descriptors and Motor Primitives. - Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters 001 (ICINCO (2), 2010)

Refining grasp affordance models by experience. - Renaud Detry; Dirk Kraft; Anders Glent Buch; Norbert Krüger; Justus H. Piater (ICRA, 2010)

Learning probabilistic discriminative models of grasp affordances under limited supervision. - Ayse Erkan; Oliver Kroemer; Renaud Detry; Yasemin Altun; Justus H. Piater; Jan Peters 001 (IROS, 2010)

The SignSpeak Project - Bridging the Gap Between Signers and Speakers. - Philippe Dreuw; Hermann Ney; Gregorio Martínez Pérez; Onno Crasborn; Justus H. Piater; Jose Miguel Moya; Mark Wheatley (LREC, 2010)

Adapting Preshaped Grasping Movements Using Vision Descriptors. - Oliver Krömer; Renaud Detry; Justus H. Piater; Jan Peters 001 (SAB, 2010)

Using multi-modal 3D contours and their relations for vision and robotics. - Emre Baseski; Nicolas Pugeault; Sinan Kalkan; Leon Bodenhagen; Justus H. Piater; Norbert Krüger (J. Vis. Commun. Image Represent., 2010)

Combining active learning and reactive control for robot grasping. - Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters 001 (Robotics Auton. Syst., 2010)

Development of Object and Grasping Knowledge by Robot Exploration. - Dirk Kraft; Renaud Detry; Nicolas Pugeault; Emre Baseski; Frank Guerin; Justus H. Piater; Norbert Krüger (IEEE Trans. Auton. Ment. Dev., 2010)

Learning Continuous Grasp Affordances by Sensorimotor Exploration. - Renaud Detry; Emre Baseski; Mila Popovic; Younes Touati; Norbert Krüger; Oliver Kroemer; Jan Peters 001; Justus H. Piater (From Motor Learning to Interaction Learning in Robots, 2010)

Probabilistic Object Models for Pose Estimation in 2D Images. - Damien Teney; Justus H. Piater (DAGM-Symposium, 2011)

What a successful grasp tells about the success chances of grasps in its vicinity. - Leon Bodenhagen; Renaud Detry; Justus H. Piater; Norbert Krüger (ICDL-EPIROB, 2011)

Learning visual representations for perception-action systems. - Justus H. Piater; Sébastien Jodogne; Renaud Detry; Dirk Kraft; Norbert Krüger; Oliver Kroemer; Jan Peters 001 (Int. J. Robotics Res., 2011)

Learning grasp affordance densities. - Renaud Detry; Dirk Kraft; Oliver Kroemer; Leon Bodenhagen; Jan Peters 001; Norbert Krüger; Justus H. Piater (Paladyn J. Behav. Robotics, 2011)

Object-Action Complexes: Grounded abstractions of sensory-motor processes. - Norbert Krüger; Christopher W. Geib; Justus H. Piater; Ronald P. A. Petrick; Mark Steedman; Florentin Wörgötter; Ales Ude; Tamim Asfour; Dirk Kraft; Damir Omrcen; Alejandro Agostini; Rüdiger Dillmann (Robotics Auton. Syst., 2011)

Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges. - Damien Teney; Justus H. Piater (3DIMPVT, 2012)

Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences. - Damien Teney; Justus H. Piater (DICTA, 2012)

Generalizing grasps across partly similar objects. - Renaud Detry; Carl Henrik Ek; Marianna Madry; Justus H. Piater; Danica Kragic (ICRA, 2012)

Applying a learning framework for improving success rates in industrial bin picking. - Lars-Peter Ellekilde; Jimmy A. Jørgensen; Dirk Kraft; Norbert Krüger; Justus H. Piater; Henrik Gordon Petersen (IROS, 2012)

RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus. - Jens Forster; Christoph Schmidt; Thomas Hoyoux; Oscar Koller; Uwe Zelle; Justus H. Piater; Hermann Ney (LREC, 2012)

A Study of Point Cloud Registration with Probability Product Kernel Functions. - Hanchen Xiong; Sándor Szedmák; Justus H. Piater (3DV, 2013)

Models of the Visual Cortex for Object Representation: Learning and Wired Approaches. - Antonio Jose Rodríguez-Sánchez; Justus H. Piater (BrainComp, 2013)

Continuous Pose Estimation in 2D Images at Instance and Category Levels. - Damien Teney; Justus H. Piater (CRV, 2013)

Efficient, General Point Cloud Registration with Kernel Feature Maps. - Hanchen Xiong; Sándor Szedmák; Justus H. Piater (CRV, 2013)

3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields. - Hanchen Xiong; Sándor Szedmák; Justus H. Piater (GCPR, 2013)

Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images. - Damien Teney; Justus H. Piater (IbPRIA, 2013)

Homogeneity analysis for object-action relation reasoning in kitchen scenarios. - Hanchen Xiong; Sándor Szedmák; Justus H. Piater (MLIS@IJCAI, 2013)

Unsupervised learning of predictive parts for cross-object grasp transfer. - Renaud Detry; Justus H. Piater (IROS, 2013)

Using viseme recognition to improve a sign language translation system. - Christoph Schmidt; Oscar Koller; Hermann Ney; Thomas Hoyoux; Justus H. Piater (IWSLT, 2013)

Proceedings of the 2nd Workshop on Robots in Clutter: Preparing robots for the real world (Berlin, 2013). - Michael Zillich; Maren Bennewitz; Maria Fox 001; Justus H. Piater; Dejan Pangercic (CoRR, 2013)

Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013 - Justus H. Piater; Antonio Jose Rodríguez-Sánchez (CoRR, 2013)

ÖAGM/AAPR 2013 - The 37th Annual Workshop of the Austrian Association for Pattern Recognition - Justus H. Piater; Antonio Jose Rodríguez-Sánchez (CoRR, 2013)

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? - Norbert Krüger; Peter Janssen; Sinan Kalkan; Markus Lappe; Ales Leonardis; Justus H. Piater; Antonio Jose Rodríguez-Sánchez; Laurenz Wiskott (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A Simple Ontology of Manipulation Actions Based on Hand-Object Relations. - Florentin Wörgötter; Eren Erdal Aksoy; Norbert Krüger; Justus H. Piater; Ales Ude; Minija Tamosiunaite (IEEE Trans. Auton. Ment. Dev., 2013)

Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo. - Hanchen Xiong; Sándor Szedmák; Justus H. Piater (ACML, 2014)

Joint SVM for Accurate and Fast Image Tagging. - Hanchen Xiong; Sándor Szedmák; Justus H. Piater (ESANN, 2014)

Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. - Hanchen Xiong; Sándor Szedmák; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (ICANN, 2014)

Emergent structuring of interdependent affordance learning tasks. - Emre Ugur; Justus H. Piater (ICDL-EPIROB, 2014)

Bootstrapping paired-object affordance learning with learned single-affordance features. - Emre Ugur; Sándor Szedmák; Justus H. Piater (ICDL-EPIROB, 2014)

Active learning of manipulation sequences. - David Martínez Martínez; Guillem Alenyà; Pablo Jiménez; Carme Torras; Jürgen Rossmann; Nils Wantia; Eren Erdal Aksoy; Simon Haller; Justus H. Piater (ICRA, 2014)

Knowledge propagation and relation learning for predicting action effects. - Sándor Szedmák; Emre Ugur; Justus H. Piater (IROS, 2014)

Complex affordance learning based on basic affordances. - Emre Ugur; Sándor Szedmák; Justus H. Piater (SIU, 2014)

Multiview feature distributions for object detection and continuous pose estimation. - Damien Teney; Justus H. Piater (Comput. Vis. Image Underst., 2014)

Multi-label Object Categorization Using Histograms of Global Relations. - Wail Mustafa; Hanchen Xiong; Dirk Kraft; Sándor Szedmák; Justus H. Piater; Norbert Krüger (3DV, 2015)

Learning Abstract Classes using Deep Learning. - Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (BICT, 2015)

Can Computer Vision Problems Benefit from Structured Hierarchical Classification? - Thomas Hoyoux; Antonio Jose Rodríguez-Sánchez; Justus H. Piater; Sándor Szedmák (CAIP (2), 2015)

IIS at ImageCLEF 2015: Multi-label Classification Task. - Antonio Jose Rodríguez-Sánchez; Sabrina Fontanella; Justus H. Piater; Sándor Szedmák (CLEF (Working Notes), 2015)

CPS: 3D Compositional Part Segmentation through Grasping. - Safoura Rezapour Lakani; Mirela Popa; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CRV, 2015)

Probabilistic Detection of Pointing Directions for Human-Robot Interaction. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (DICTA, 2015)

Learning missing edges via kernels in partially-known graphs. - Senka Krivic; Sándor Szedmák; Hanchen Xiong; Justus H. Piater (ESANN, 2015)

Negotiating Instruction Strategies during Robot Action Demonstration. - Lars Christian Jensen; Kerstin Fischer; Dadhichi Shukla; Justus H. Piater (HRI (Extended Abstracts), 2015)

Human Smile Distinguishes between Collaborative and Solitary Tasks in Human-Robot Interaction. - Franziska Kirstein; Kerstin Fischer; Özgür Erkent; Justus H. Piater (HRI (Extended Abstracts), 2015)

Refining discovered symbols with multi-step interaction experience. - Emre Ugur; Justus H. Piater (Humanoids, 2015)

Reactive, task-specific object manipulation by metric reinforcement learning. - Simon Hangl; Emre Ugur; Sándor Szedmák; Justus H. Piater; Ales Ude (ICAR, 2015)

Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning. - Emre Ugur; Justus H. Piater (ICRA, 2015)

General Object Tip Detection and Pose Estimation for Robot Manipulation. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (ICVS, 2015)

Using structural bootstrapping for object substitution in robotic executions of human-like manipulation tasks. - Alejandro Agostini; Mohamad Javad Aein; Sándor Szedmák; Eren Erdal Aksoy; Justus H. Piater; Florentin Wörgötter (IROS, 2015)

SCurV: A 3D descriptor for object classification. - Antonio Jose Rodríguez-Sánchez; Sándor Szedmák; Justus H. Piater (IROS, 2015)

The Effects of Social Gaze in Human-Robot Collaborative Assembly. - Kerstin Fischer; Lars Christian Jensen; Franziska Kirstein; Sebastian Stabinger; Özgür Erkent; Dadhichi Shukla; Justus H. Piater (ICSR, 2015)

Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411). - Jan Peters 001; Justus H. Piater; Robert Platt Jr. 001; Siddhartha S. Srinivasa (Dagstuhl Reports, 2015)

Making Better Robots - Beiträge Österreichs zur Europäischen Robotics Research Roadmap. - Michael W. Hofbaur; Andreas Müller 002; Justus H. Piater; Bernhard Rinner; Gerald Steinbauer; Markus Vincze; Christian Wögerer (Elektrotech. Informationstechnik, 2015)

Diversity priors for learning early visual features. - Hanchen Xiong; Antonio Jose Rodríguez-Sánchez; Sándor Szedmák; Justus H. Piater (Frontiers Comput. Neurosci., 2015)

Scalable, accurate image annotation with joint SVMs and output kernels. - Hanchen Xiong; Sándor Szedmák; Justus H. Piater (Neurocomputing, 2015)

Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. - Antonio Jose Rodríguez-Sánchez; Heiko Neumann; Justus H. Piater (Künstliche Intell., 2015)

Structural Bootstrapping - A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge. - Florentin Wörgötter; Christopher W. Geib; Minija Tamosiunaite; Eren Erdal Aksoy; Justus H. Piater; Hanchen Xiong; Ales Ude; Bojan Nemec; Dirk Kraft; Norbert Krüger; Mirko Wächter; Tamim Asfour (IEEE Trans. Auton. Ment. Dev., 2015)

A robust pushing skill for object delivery between obstacles. - Senka Krivic; Emre Ugur; Justus H. Piater (CASE, 2016)

Kronecker Decomposition for Image Classification. - Sabrina Fontanella; Antonio Jose Rodríguez-Sánchez; Justus H. Piater; Sándor Szedmák (CLEF, 2016)

Integration of Probabilistic Pose Estimates from Multiple Views. - Özgür Erkent; Dadhichi Shukla; Justus H. Piater (ECCV (7), 2016)

Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. - Antonio Jose Rodríguez-Sánchez; Sabine Oberleiter; Hanchen Xiong; Justus H. Piater (ICANN (2), 2016)

25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? - Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (ICANN (2), 2016)

Robotic playing for hierarchical complex skill learning. - Simon Hangl; Emre Ugur; Sándor Szedmák; Justus H. Piater (IROS, 2016)

A multi-view hand gesture RGB-D dataset for human-robot interaction scenarios. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (RO-MAN, 2016)

Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. - Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (WACV, 2016)

Hierarchical Haptic Manipulation for Complex Skill Learning. - Simon Hangl; Emre Ugur; Sándor Szedmák; Justus H. Piater (CoRR, 2016)

Grasp Learning by Sampling from Demonstration. - Philipp Zech; Justus H. Piater (CoRR, 2016)

Active and Transfer Learning of Grasps by Sampling from Demonstration. - Philipp Zech; Justus H. Piater (CoRR, 2016)

Active and Transfer Learning of Grasps by Kernel Adaptive MCMC. - Philipp Zech; Hanchen Xiong; Justus H. Piater (CoRR, 2016)

Learning undirected graphical models using persistent sequential Monte Carlo. - Hanchen Xiong; Sándor Szedmák; Justus H. Piater (Mach. Learn., 2016)

Can computer vision problems benefit from structured hierarchical classification? - Thomas Hoyoux; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (Mach. Vis. Appl., 2016)

Initial State Prediction in Planning. - Senka Krivic; Michael Cashmore; Bram Ridder; Daniele Magazzeni; Sándor Szedmák; Justus H. Piater (AAAI Workshops, 2017)

Supervised Learning of Gesture-Action Associations for Human-Robot Collaboration. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (FG, 2017)

It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration. - Lars Christian Jensen; Kerstin Fischer; Franziska Kirstein; Dadhichi Shukla; Özgür Erkent; Justus H. Piater (HRI (Companion), 2017)

Decreasing Uncertainty in Planning with State Prediction. - Senka Krivic; Michael Cashmore; Daniele Magazzeni; Bram Ridder; Sándor Szedmák; Justus H. Piater (IJCAI, 2017)

Visual task outcome verification using deep learning. - Özgür Erkent; Dadhichi Shukla; Justus H. Piater (IROS, 2017)

Autonomous skill-centric testing using deep learning. - Simon Hangl; Sebastian Stabinger; Justus H. Piater (IROS, 2017)

Proactive, incremental learning of gesture-action associations for human-robot collaboration. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (RO-MAN, 2017)

Autonomous Object Handover Using Wrist Tactile Information. - Jelizaveta Konstantinova; Senka Krivic; Agostino Stilli; Justus H. Piater; Kaspar Althoefer (TAROS, 2017)

Can Affordances Guide Object Decomposition into Semantically Meaningful Parts? - Safoura Rezapour Lakani; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (WACV, 2017)

Computational models of affordance in robotics: a taxonomy and systematic classification. - Philipp Zech; Simon Haller; Safoura Rezapour Lakani; Barry Ridge; Emre Ugur; Justus H. Piater (Adapt. Behav., 2017)

Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity. - Simon Hangl; Vedran Dunjko; Hans J. Briegel; Justus H. Piater (CoRR, 2017)

A novel Skill-based Programming Paradigm based on Autonomous Playing and Skill-centric Testing. - Simon Hangl; Andreas Mennel; Justus H. Piater (CoRR, 2017)

Autonomous robots: potential, advances and future direction. - Simon Hangl; Emre Ugur; Justus H. Piater (Elektrotech. Informationstechnik, 2017)

Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection. - Emre Ugur; Justus H. Piater (IEEE Trans. Cogn. Dev. Syst., 2017)

Online Adaptation of Robot Pushing Control to Object Properties. - Senka Krivic; Justus H. Piater (IROS, 2018)

Learning Movement Assessment Primitives for Force Interaction Skills. - Xiang Zhang; Athanasios S. Polydoros; Justus H. Piater (CoRR, 2018)

Learning Semantics of Gestural Instructions for Human-Robot Collaboration. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (Frontiers Neurorobotics, 2018)

Exercising Affordances of Objects: A Part-Based Approach. - Safoura Rezapour Lakani; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (IEEE Robotics Autom. Lett., 2018)

Integrating multi-purpose natural language understanding, robot's memory, and symbolic planning for task execution in humanoid robots. - Mirko Wächter; Ekaterina Ovchinnikova; Valerij Wittenbeck; Peter Kaiser 001; Sándor Szedmák; Wail Mustafa; Dirk Kraft; Norbert Krüger; Justus H. Piater; Tamim Asfour (Robotics Auton. Syst., 2018)

Affordances in Psychology, Neuroscience, and Robotics: A Survey. - Lorenzo Jamone; Emre Ugur; Angelo Cangelosi; Luciano Fadiga; Alexandre Bernardino; Justus H. Piater; José Santos-Victor (IEEE Trans. Cogn. Dev. Syst., 2018)

Teaching a Robot the Semantics of Assembly Tasks. - Thiusius Rajeeth Savarimuthu; Anders Glent Buch; Christian Schlette; Nils Wantia; Jürgen Roßmann; David Martínez Martínez; Guillem Alenyà; Carme Torras; Ales Ude; Bojan Nemec; Aljaz Kramberger; Florentin Wörgötter; et al. (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Conditional Neural Movement Primitives. - Muhammet Yunus Seker; Mert Imre; Justus H. Piater; Emre Ugur (Robotics: Science and Systems, 2019)

Pushing corridors for delivering unknown objects with a mobile robot. - Senka Krivic; Justus H. Piater (Auton. Robots, 2019)

Towards affordance detection for robot manipulation using affordance for parts and parts for affordance. - Safoura Rezapour Lakani; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (Auton. Robots, 2019)

Action representations in robotics: A taxonomy and systematic classification. - Philipp Zech; Erwan Renaudo; Simon Haller; Xiang Zhang; Justus H. Piater (Int. J. Robotics Res., 2019)

Symbol Emergence in Cognitive Developmental Systems: A Survey. - Tadahiro Taniguchi; Justus H. Piater; Florentin Wörgötter; Emre Ugur; Matej Hoffmann; Lorenzo Jamone; Takayuki Nagai; Benjamin Rosman; Toshihiko Matsuka; Naoto Iwahashi; Erhan Öztop (IEEE Trans. Cogn. Dev. Syst., 2019)

ROSSINI: RobOt kidS deSIgn thiNkIng. - Simon Haller-Seeber; Erwan Renaudo; Philipp Zech; Florian Westreicher; Markus Walzthöni; Stefan Strappler; Cornelia Vidovic; Justus H. Piater (RiE, 2020)

A Block-based IDE Extension for the ESP32. - Patrick Lamprecht; Simon Haller-Seeber; Justus H. Piater (RiE, 2020)

A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines. - Erenus Yildiz; Tobias Brinker; Erwan Renaudo; Jakob J. Hollenstein; Simon Haller-Seeber; Justus H. Piater; Florentin Wörgötter (ROBOVIS, 2020)

Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. - Pilar de la Cruz; Justus H. Piater; Matteo Saveriano (SMC, 2020)

Evaluating the Progress of Deep Learning for Visual Relational Concepts. - Sebastian Stabinger; Justus H. Piater; Antonio Jose Rodríguez-Sánchez (CoRR, 2020)

Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search. - Jakob J. Hollenstein; Erwan Renaudo; Matteo Saveriano; Justus H. Piater (CoRR, 2020)

How do Offline Measures for Exploration in Reinforcement Learning behave? - Jakob J. Hollenstein; Sayantan Auddy; Matteo Saveriano; Erwan Renaudo; Justus H. Piater (CoRR, 2020)

DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning. - Alper Ahmetoglu; M. Yunus Seker; Aysu Sayin; Serkan Bugur; Justus H. Piater; Erhan Öztop; Emre Ugur (CoRR, 2020)

Combining decision making and dynamical systems for monitoring and executing manipulation tasks. - Matteo Saveriano; Justus H. Piater (Elektrotech. Informationstechnik, 2020)

Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition. - Simon Hangl; Vedran Dunjko; Hans J. Briegel; Justus H. Piater (Frontiers Robotics AI, 2020)

Using Machine Learning for Decreasing State Uncertainty in Planning. - Senka Krivic; Michael Cashmore; Daniele Magazzeni; Sándor Szedmák; Justus H. Piater (J. Artif. Intell. Res., 2020)

Manipulation Planning Using Object-Centered Predicates and Hierarchical Decomposition of Contextual Actions. - Alejandro Agostini; Matteo Saveriano; Dongheui Lee; Justus H. Piater (IEEE Robotics Autom. Lett., 2020)

Learning Descriptor of Constrained Task from Demonstration. - Xiang Zhang; Matteo Saveriano; Justus H. Piater (CoRR, 2021)

ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture. - Alejandro Romero; Justus H. Piater; Francisco Bellas; Richard J. Duro (IJCNN, 2022)

Continual Learning from Demonstration of Robotic Skills. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CoRR, 2022)

DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction. - Alper Ahmetoglu; M. Yunus Seker; Justus H. Piater; Erhan Öztop; Emre Ugur (J. Artif. Intell. Res., 2022)

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. - Jakob J. Hollenstein; Sayantan Auddy; Matteo Saveriano; Erwan Renaudo; Justus H. Piater (Trans. Mach. Learn. Res., 2022)

Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. - David Peer; Bart Keulen; Sebastian Stabinger; Justus H. Piater; Antonio Jose Rodríguez-Sánchez (Trans. Mach. Learn. Res., 2022)

Regularity as Intrinsic Reward for Free Play. - Cansu Sancaktar; Justus H. Piater; Georg Martius (NeurIPS, 2023)

Differentiable Forward Kinematics for TensorFlow 2. - Lukas Mölschl; Jakob J. Hollenstein; Justus H. Piater (CoRR, 2023)

Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills. - Hector M. Perez-Villeda; Justus H. Piater; Matteo Saveriano (CoRR, 2023)

Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CoRR, 2023)

Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints. - Alejandro Agostini; Justus H. Piater (CoRR, 2023)

Continual learning from demonstration of robotics skills. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (Robotics Auton. Syst., 2023)

Learning and extrapolation of robotic skills using task-parameterized equation learner networks. - Hector M. Perez-Villeda; Justus H. Piater; Matteo Saveriano (Robotics Auton. Syst., 2023)

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. - Jakob J. Hollenstein; Georg Martius; Justus H. Piater (AAAI, 2024)

Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration. - Sayantan Auddy; Sebastian Bergner; Justus H. Piater (ERF (1), 2024)

Minor Digital Science at the University of Innsbruck: The Dynamics of Multidisciplinary Education for Heterogeneous Groups. - Joanna Chimiak-Opoka; Justus H. Piater (INFORMATIK, 2024)

Continual Domain Randomization. - Josip Josifovski; Sayantan Auddy; Mohammadhossein Malmir; Justus H. Piater; Alois Knoll; Nicolás Navarro-Guerrero (IROS, 2024)

Local Linearity is All You Need (in Data-Driven Teleoperation). - Michael Przystupa; Gauthier Gidel; Matthew E. Taylor; Martin Jägersand; Justus H. Piater; Samuele Tosatto (IROS, 2024)

Unsupervised Learning of Effective Actions in Robotics. - Marko Zaric; Jakob J. Hollenstein; Justus H. Piater; Erwan Renaudo (CoRR, 2024)

Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation. - Sayantan Auddy; Antonio Paolillo; Justus H. Piater; Matteo Saveriano (CoRR, 2024)

Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation. - Michael Przystupa; Gauthier Gidel; Matthew E. Taylor; Martin Jägersand; Justus H. Piater; Samuele Tosatto (CoRR, 2024)

Imitation learning-based Direct Visual Servoing using the large projection formulation. - Sayantan Auddy; Antonio Paolillo; Justus H. Piater; Matteo Saveriano (Robotics Auton. Syst., 2025)