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Justus H. Piater
Person information
- affiliation: University of Innsbruck, Austria
- affiliation: INRIA Rhône-Alpes, France
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2020 – today
- 2024
- [c118]Jakob J. Hollenstein, Georg Martius, Justus H. Piater:
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. AAAI 2024: 12466-12472 - [i37]Sayantan Auddy, Sebastian Bergner, Justus H. Piater:
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration. CoRR abs/2401.00524 (2024) - [i36]Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus H. Piater, Alois Knoll, Nicolás Navarro-Guerrero
:
Continual Domain Randomization. CoRR abs/2403.12193 (2024) - [i35]Marko Zaric, Jakob J. Hollenstein, Justus H. Piater, Erwan Renaudo:
Unsupervised Learning of Effective Actions in Robotics. CoRR abs/2404.02728 (2024) - [i34]Sayantan Auddy, Antonio Paolillo, Justus H. Piater, Matteo Saveriano:
Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation. CoRR abs/2406.09120 (2024) - 2023
- [j44]Hector M. Perez-Villeda
, Justus H. Piater, Matteo Saveriano:
Learning and extrapolation of robotic skills using task-parameterized equation learner networks. Robotics Auton. Syst. 160: 104309 (2023) - [j43]Sayantan Auddy
, Jakob J. Hollenstein
, Matteo Saveriano
, Antonio Jose Rodríguez-Sánchez
, Justus H. Piater
:
Continual learning from demonstration of robotics skills. Robotics Auton. Syst. 165: 104427 (2023) - [c117]Cansu Sancaktar, Justus H. Piater, Georg Martius:
Regularity as Intrinsic Reward for Free Play. NeurIPS 2023 - [i33]Lukas Mölschl, Jakob J. Hollenstein, Justus H. Piater:
Differentiable Forward Kinematics for TensorFlow 2. CoRR abs/2301.09954 (2023) - [i32]Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano:
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills. CoRR abs/2311.02475 (2023) - [i31]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. CoRR abs/2311.03600 (2023) - [i30]Cansu Sancaktar, Justus H. Piater, Georg Martius:
Regularity as Intrinsic Reward for Free Play. CoRR abs/2312.01473 (2023) - [i29]Jakob J. Hollenstein, Georg Martius, Justus H. Piater:
Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling. CoRR abs/2312.11091 (2023) - [i28]Alejandro Agostini, Justus H. Piater:
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints. CoRR abs/2312.17605 (2023) - 2022
- [j42]Alper Ahmetoglu
, M. Yunus Seker
, Justus H. Piater, Erhan Öztop
, Emre Ugur:
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction. J. Artif. Intell. Res. 75: 709-745 (2022) - [j41]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. Trans. Mach. Learn. Res. 2022 (2022) - [j40]David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. Trans. Mach. Learn. Res. 2022 (2022) - [c116]Alejandro Romero, Justus H. Piater, Francisco Bellas
, Richard J. Duro:
ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture. IJCNN 2022: 1-8 - [i27]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual Learning from Demonstration of Robotic Skills. CoRR abs/2202.06843 (2022) - [i26]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. CoRR abs/2206.03787 (2022) - [i25]David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. CoRR abs/2208.01134 (2022) - [i24]Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano:
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks. CoRR abs/2212.08531 (2022) - 2021
- [e3]Matteo Saveriano
, Erwan Renaudo
, Antonio Jose Rodríguez-Sánchez
, Justus H. Piater
:
Human-Friendly Robotics 2020 - 13th International Workshop, HFR 2020, Innsbruck, Austria, October 2020. Springer Proceedings in Advanced Robotics 18, Springer 2021, ISBN 978-3-030-71355-3 [contents] - [i23]Xiang Zhang, Matteo Saveriano, Justus H. Piater:
Learning Descriptor of Constrained Task from Demonstration. CoRR abs/2103.09465 (2021) - 2020
- [j39]Matteo Saveriano
, Justus H. Piater:
Combining decision making and dynamical systems for monitoring and executing manipulation tasks. Elektrotech. Informationstechnik 137(6): 309-315 (2020) - [j38]Simon Hangl, Vedran Dunjko, Hans J. Briegel
, Justus H. Piater:
Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition. Frontiers Robotics AI 7: 42 (2020) - [j37]Senka Krivic
, Michael Cashmore, Daniele Magazzeni, Sándor Szedmák
, Justus H. Piater:
Using Machine Learning for Decreasing State Uncertainty in Planning. J. Artif. Intell. Res. 69: 765-806 (2020) - [j36]Alejandro Agostini
, Matteo Saveriano
, Dongheui Lee
, Justus H. Piater
:
Manipulation Planning Using Object-Centered Predicates and Hierarchical Decomposition of Contextual Actions. IEEE Robotics Autom. Lett. 5(4): 5629-5636 (2020) - [c115]Simon Haller-Seeber
, Erwan Renaudo
, Philipp Zech
, Florian Westreicher, Markus Walzthöni, Stefan Strappler, Cornelia Vidovic, Justus H. Piater
:
ROSSINI: RobOt kidS deSIgn thiNkIng. RiE 2020: 16-25 - [c114]Patrick Lamprecht, Simon Haller-Seeber
, Justus H. Piater
:
A Block-based IDE Extension for the ESP32. RiE 2020: 304-310 - [c113]Erenus Yildiz, Tobias Brinker, Erwan Renaudo, Jakob J. Hollenstein, Simon Haller-Seeber
, Justus H. Piater, Florentin Wörgötter:
A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines. ROBOVIS 2020: 17-27 - [c112]Pilar de la Cruz, Justus H. Piater, Matteo Saveriano:
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. SMC 2020: 1915-1922 - [i22]Sebastian Stabinger
, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Evaluating the Progress of Deep Learning for Visual Relational Concepts. CoRR abs/2001.10857 (2020) - [i21]Pilar de la Cruz, Justus H. Piater, Matteo Saveriano:
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. CoRR abs/2007.10663 (2020) - [i20]Jakob J. Hollenstein, Erwan Renaudo, Matteo Saveriano, Justus H. Piater:
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search. CoRR abs/2010.12974 (2020) - [i19]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
How do Offline Measures for Exploration in Reinforcement Learning behave? CoRR abs/2010.15533 (2020) - [i18]Alper Ahmetoglu, M. Yunus Seker, Aysu Sayin, Serkan Bugur, Justus H. Piater, Erhan Öztop, Emre Ugur:
DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning. CoRR abs/2012.02532 (2020)
2010 – 2019
- 2019
- [j35]Safoura Rezapour Lakani
, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Towards affordance detection for robot manipulation using affordance for parts and parts for affordance. Auton. Robots 43(5): 1155-1172 (2019) - [j34]Senka Krivic
, Justus H. Piater:
Pushing corridors for delivering unknown objects with a mobile robot. Auton. Robots 43(6): 1435-1452 (2019) - [j33]Philipp Zech
, Erwan Renaudo
, Simon Haller, Xiang Zhang, Justus H. Piater:
Action representations in robotics: A taxonomy and systematic classification. Int. J. Robotics Res. 38(5) (2019) - [j32]Tadahiro Taniguchi
, Justus H. Piater
, Florentin Wörgötter
, Emre Ugur
, Matej Hoffmann
, Lorenzo Jamone
, Takayuki Nagai, Benjamin Rosman
, Toshihiko Matsuka
, Naoto Iwahashi, Erhan Öztop
:
Symbol Emergence in Cognitive Developmental Systems: A Survey. IEEE Trans. Cogn. Dev. Syst. 11(4): 494-516 (2019) - [c111]Muhammet Yunus Seker, Mert Imre, Justus H. Piater, Emre Ugur:
Conditional Neural Movement Primitives. Robotics: Science and Systems 2019 - 2018
- [j31]Dadhichi Shukla, Özgür Erkent, Justus H. Piater:
Learning Semantics of Gestural Instructions for Human-Robot Collaboration. Frontiers Neurorobotics 12: 7 (2018) - [j30]Safoura Rezapour Lakani
, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
:
Exercising Affordances of Objects: A Part-Based Approach. IEEE Robotics Autom. Lett. 3(4): 3465-3472 (2018) - [j29]Mirko Wächter, Ekaterina Ovchinnikova, Valerij Wittenbeck, Peter Kaiser
, Sándor Szedmák
, Wail Mustafa
, Dirk Kraft
, Norbert Krüger
, Justus H. Piater
, Tamim Asfour
:
Integrating multi-purpose natural language understanding, robot's memory, and symbolic planning for task execution in humanoid robots. Robotics Auton. Syst. 99: 148-165 (2018) - [j28]Lorenzo Jamone
, Emre Ugur
, Angelo Cangelosi
, Luciano Fadiga
, Alexandre Bernardino
, Justus H. Piater, José Santos-Victor
:
Affordances in Psychology, Neuroscience, and Robotics: A Survey. IEEE Trans. Cogn. Dev. Syst. 10(1): 4-25 (2018) - [j27]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, Eren Erdal Aksoy
, Jeremie Papon, Simon Haller, Justus H. Piater, Norbert Krüger
:
Teaching a Robot the Semantics of Assembly Tasks. IEEE Trans. Syst. Man Cybern. Syst. 48(5): 670-692 (2018) - [c110]Senka Krivic
, Justus H. Piater:
Online Adaptation of Robot Pushing Control to Object Properties. IROS 2018: 4614-4621 - [i17]Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop, Justus H. Piater, Florentin Wörgötter:
Symbol Emergence in Cognitive Developmental Systems: a Survey. CoRR abs/1801.08829 (2018) - [i16]Xiang Zhang, Athanasios S. Polydoros, Justus H. Piater:
Learning Movement Assessment Primitives for Force Interaction Skills. CoRR abs/1805.04354 (2018) - [i15]Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang, Justus H. Piater:
Action Representations in Robotics: A Taxonomy and Systematic Classification. CoRR abs/1809.04317 (2018) - 2017
- [j26]Philipp Zech
, Simon Haller, Safoura Rezapour Lakani, Barry Ridge
, Emre Ugur
, Justus H. Piater:
Computational models of affordance in robotics: a taxonomy and systematic classification. Adapt. Behav. 25(5): 235-271 (2017) - [j25]Simon Hangl, Emre Ugur
, Justus H. Piater:
Autonomous robots: potential, advances and future direction. Elektrotech. Informationstechnik 134(6): 293-298 (2017) - [j24]Emre Ugur
, Justus H. Piater:
Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection. IEEE Trans. Cogn. Dev. Syst. 9(4): 328-340 (2017) - [c109]Senka Krivic, Michael Cashmore, Bram Ridder, Daniele Magazzeni, Sándor Szedmák, Justus H. Piater:
Initial State Prediction in Planning. AAAI Workshops 2017 - [c108]Dadhichi Shukla, Özgür Erkent, Justus H. Piater:
Supervised Learning of Gesture-Action Associations for Human-Robot Collaboration. FG 2017: 778-783 - [c107]Lars Christian Jensen
, Kerstin Fischer
, Franziska Kirstein, Dadhichi Shukla, Özgür Erkent, Justus H. Piater:
It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration. HRI (Companion) 2017: 145-146 - [c106]Senka Krivic
, Michael Cashmore, Daniele Magazzeni, Bram Ridder, Sándor Szedmák
, Justus H. Piater:
Decreasing Uncertainty in Planning with State Prediction. IJCAI 2017: 2032-2038 - [c105]Simon Hangl, Sebastian Stabinger
, Justus H. Piater:
Autonomous skill-centric testing using deep learning. IROS 2017: 95-102 - [c104]Özgür Erkent, Dadhichi Shukla, Justus H. Piater:
Visual task outcome verification using deep learning. IROS 2017: 4821-4827 - [c103]Dadhichi Shukla, Özgür Erkent, Justus H. Piater:
Proactive, incremental learning of gesture-action associations for human-robot collaboration. RO-MAN 2017: 346-353 - [c102]Jelizaveta Konstantinova
, Senka Krivic
, Agostino Stilli
, Justus H. Piater, Kaspar Althoefer:
Autonomous Object Handover Using Wrist Tactile Information. TAROS 2017: 450-463 - [c101]Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Can Affordances Guide Object Decomposition into Semantically Meaningful Parts? WACV 2017: 82-90 - [i14]Simon Hangl, Sebastian Stabinger, Justus H. Piater:
Autonomous Skill-centric Testing using Deep Learning. CoRR abs/1703.00835 (2017) - [i13]Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus H. Piater:
Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity. CoRR abs/1706.08560 (2017) - [i12]Simon Hangl, Andreas Mennel, Justus H. Piater:
A novel Skill-based Programming Paradigm based on Autonomous Playing and Skill-centric Testing. CoRR abs/1709.06049 (2017) - 2016
- [j23]Hanchen Xiong, Sándor Szedmák
, Justus H. Piater:
Learning undirected graphical models using persistent sequential Monte Carlo. Mach. Learn. 103(2): 239-260 (2016) - [j22]Thomas Hoyoux, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Can computer vision problems benefit from structured hierarchical classification? Mach. Vis. Appl. 27(8): 1299-1312 (2016) - [c100]Senka Krivic
, Emre Ugur
, Justus H. Piater:
A robust pushing skill for object delivery between obstacles. CASE 2016: 1184-1189 - [c99]Sabrina Fontanella, Antonio Jose Rodríguez-Sánchez, Justus H. Piater, Sándor Szedmák
:
Kronecker Decomposition for Image Classification. CLEF 2016: 137-149 - [c98]Özgür Erkent, Dadhichi Shukla, Justus H. Piater:
Integration of Probabilistic Pose Estimates from Multiple Views. ECCV (7) 2016: 154-170 - [c97]Sebastian Stabinger
, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? ICANN (2) 2016: 380-387 - [c96]Antonio Jose Rodríguez-Sánchez, Sabine Oberleiter, Hanchen Xiong, Justus H. Piater:
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. ICANN (2) 2016: 463-471 - [c95]Simon Hangl, Emre Ugur
, Sándor Szedmák
, Justus H. Piater:
Robotic playing for hierarchical complex skill learning. IROS 2016: 2799-2804 - [c94]Dadhichi Shukla, Özgür Erkent, Justus H. Piater:
A multi-view hand gesture RGB-D dataset for human-robot interaction scenarios. RO-MAN 2016: 1084-1091 - [c93]Sebastian Stabinger
, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. WACV 2016: 1-9 - [i11]Simon Hangl, Emre Ugur, Sándor Szedmák, Justus H. Piater:
Hierarchical Haptic Manipulation for Complex Skill Learning. CoRR abs/1603.00794 (2016) - [i10]Sebastian Stabinger
, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Learning Abstract Classes using Deep Learning. CoRR abs/1606.05506 (2016) - [i9]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
25 years of CNNs: Can we compare to human abstraction capabilities? CoRR abs/1607.08366 (2016) - [i8]Philipp Zech
, Justus H. Piater:
Grasp Learning by Sampling from Demonstration. CoRR abs/1611.06366 (2016) - [i7]Philipp Zech
, Justus H. Piater:
Active and Transfer Learning of Grasps by Sampling from Demonstration. CoRR abs/1611.06367 (2016) - [i6]Philipp Zech
, Hanchen Xiong, Justus H. Piater:
Active and Transfer Learning of Grasps by Kernel Adaptive MCMC. CoRR abs/1611.06368 (2016) - 2015
- [j21]Michael W. Hofbaur, Andreas Müller, Justus H. Piater
, Bernhard Rinner, Gerald Steinbauer, Markus Vincze, Christian Wögerer:
Making Better Robots - Beiträge Österreichs zur Europäischen Robotics Research Roadmap. Elektrotech. Informationstechnik 132(4-5): 237-248 (2015) - [j20]Hanchen Xiong, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater
:
Diversity priors for learning early visual features. Frontiers Comput. Neurosci. 9: 104 (2015) - [j19]Hanchen Xiong, Sándor Szedmák, Justus H. Piater
:
Scalable, accurate image annotation with joint SVMs and output kernels. Neurocomputing 169: 205-214 (2015) - [j18]Antonio Jose Rodríguez-Sánchez, Heiko Neumann, Justus H. Piater
:
Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. Künstliche Intell. 29(1): 19-29 (2015) - [j17]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
:
Structural Bootstrapping - A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge. IEEE Trans. Auton. Ment. Dev. 7(2): 140-154 (2015) - [c92]Wail Mustafa
, Hanchen Xiong, Dirk Kraft
, Sándor Szedmák, Justus H. Piater, Norbert Krüger
:
Multi-label Object Categorization Using Histograms of Global Relations. 3DV 2015: 309-317 - [c91]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Learning Abstract Classes using Deep Learning. BICT 2015: 524-528 - [c90]Thomas Hoyoux, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
, Sándor Szedmák:
Can Computer Vision Problems Benefit from Structured Hierarchical Classification? CAIP (2) 2015: 403-414 - [c89]Antonio Jose Rodríguez-Sánchez, Sabrina Fontanella, Justus H. Piater, Sándor Szedmák:
IIS at ImageCLEF 2015: Multi-label Classification Task. CLEF (Working Notes) 2015 - [c88]Safoura Rezapour Lakani, Mirela Popa, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
:
CPS: 3D Compositional Part Segmentation through Grasping. CRV 2015: 117-124 - [c87]Dadhichi Shukla, Özgür Erkent, Justus H. Piater:
Probabilistic Detection of Pointing Directions for Human-Robot Interaction. DICTA 2015: 1-8 - [c86]Senka Krivic, Sándor Szedmák, Hanchen Xiong, Justus H. Piater:
Learning missing edges via kernels in partially-known graphs. ESANN 2015 - [c85]Lars Christian Jensen
, Kerstin Fischer
, Dadhichi Shukla, Justus H. Piater
:
Negotiating Instruction Strategies during Robot Action Demonstration. HRI (Extended Abstracts) 2015: 143-144 - [c84]Franziska Kirstein, Kerstin Fischer
, Özgür Erkent, Justus H. Piater
:
Human Smile Distinguishes between Collaborative and Solitary Tasks in Human-Robot Interaction. HRI (Extended Abstracts) 2015: 145-146 - [c83]Emre Ugur
, Justus H. Piater:
Refining discovered symbols with multi-step interaction experience. Humanoids 2015: 1007-1012 - [c82]Simon Hangl, Emre Ugur
, Sándor Szedmák, Justus H. Piater
, Ales Ude
:
Reactive, task-specific object manipulation by metric reinforcement learning. ICAR 2015: 557-564 - [c81]Emre Ugur
, Justus H. Piater
:
Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning. ICRA 2015: 2627-2633 - [c80]Dadhichi Shukla, Özgür Erkent, Justus H. Piater
:
General Object Tip Detection and Pose Estimation for Robot Manipulation. ICVS 2015: 364-374 - [c79]Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater:
SCurV: A 3D descriptor for object classification. IROS 2015: 1320-1327 - [c78]Alejandro Agostini, Mohamad Javad Aein, Sándor Szedmák, Eren Erdal Aksoy
, Justus H. Piater, Florentin Wörgötter:
Using structural bootstrapping for object substitution in robotic executions of human-like manipulation tasks. IROS 2015: 6479-6486 - [c77]Kerstin Fischer
, Lars Christian Jensen
, Franziska Kirstein, Sebastian Stabinger
, Özgür Erkent, Dadhichi Shukla, Justus H. Piater:
The Effects of Social Gaze in Human-Robot Collaborative Assembly. ICSR 2015: 204-213 - [i5]Jan Peters, Justus H. Piater, Robert Platt Jr., Siddhartha S. Srinivasa:
Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411). Dagstuhl Reports 5(10): 1-18 (2015) - 2014
- [j16]Damien Teney, Justus H. Piater
:
Multiview feature distributions for object detection and continuous pose estimation. Comput. Vis. Image Underst. 125: 265-282 (2014) - [c76]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo. ACML 2014 - [c75]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Joint SVM for Accurate and Fast Image Tagging. ESANN 2014 - [c74]Hanchen Xiong, Sándor Szedmák, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
:
Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. ICANN 2014: 419-426 - [c73]Emre Ugur
, Sándor Szedmák, Justus H. Piater
:
Bootstrapping paired-object affordance learning with learned single-affordance features. ICDL-EPIROB 2014: 476-481 - [c72]Emre Ugur
, Justus H. Piater
:
Emergent structuring of interdependent affordance learning tasks. ICDL-EPIROB 2014: 489-494 - [c71]David Martínez Martínez, Guillem Alenyà
, Pablo Jiménez, Carme Torras
, Jürgen Rossmann
, Nils Wantia, Eren Erdal Aksoy
, Simon Haller, Justus H. Piater
:
Active learning of manipulation sequences. ICRA 2014: 5671-5678 - [c70]Sándor Szedmák, Emre Ugur
, Justus H. Piater
:
Knowledge propagation and relation learning for predicting action effects. IROS 2014: 623-629 - [c69]Emre Ugur
, Sándor Szedmák, Justus H. Piater
:
Complex affordance learning based on basic affordances. SIU 2014: 698-701 - 2013
- [j15]Norbert Krüger
, Peter Janssen, Sinan Kalkan
, Markus Lappe, Ales Leonardis, Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Laurenz Wiskott
:
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1847-1871 (2013) - [j14]Florentin Wörgötter, Eren Erdal Aksoy
, Norbert Krüger
, Justus H. Piater
, Ales Ude
, Minija Tamosiunaite:
A Simple Ontology of Manipulation Actions Based on Hand-Object Relations. IEEE Trans. Auton. Ment. Dev. 5(2): 117-134 (2013) - [c68]Hanchen Xiong, Sándor Szedmák, Justus H. Piater
:
A Study of Point Cloud Registration with Probability Product Kernel Functions. 3DV 2013: 207-214 - [c67]Antonio Jose Rodríguez-Sánchez, Justus H. Piater
:
Models of the Visual Cortex for Object Representation: Learning and Wired Approaches. BrainComp 2013: 51-62 - [c66]Hanchen Xiong, Sándor Szedmák, Justus H. Piater
:
Efficient, General Point Cloud Registration with Kernel Feature Maps. CRV 2013: 83-90 - [c65]Damien Teney, Justus H. Piater
:
Continuous Pose Estimation in 2D Images at Instance and Category Levels. CRV 2013: 121-127 - [c64]Hanchen Xiong, Sándor Szedmák, Justus H. Piater
:
3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields. GCPR 2013: 51-60 - [c63]Damien Teney, Justus H. Piater
:
Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images. IbPRIA 2013: 59-68 - [c62]Hanchen Xiong, Sándor Szedmák, Justus H. Piater
:
Homogeneity analysis for object-action relation reasoning in kitchen scenarios. MLIS@IJCAI 2013: 37-44 - [c61]Renaud Detry, Justus H. Piater
:
Unsupervised learning of predictive parts for cross-object grasp transfer. IROS 2013: 1720-1727 - [c60]Christoph Schmidt, Oscar Koller, Hermann Ney, Thomas Hoyoux, Justus H. Piater:
Using viseme recognition to improve a sign language translation system. IWSLT 2013 - [i4]Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013. CoRR abs/1304.1876 (2013) - [i3]Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
ÖAGM/AAPR 2013 - The 37th Annual Workshop of the Austrian Association for Pattern Recognition. CoRR abs/1305.5905 (2013) - [i2]Michael Zillich, Maren Bennewitz, Maria Fox, Justus H. Piater, Dejan Pangercic:
Proceedings of the 2nd Workshop on Robots in Clutter: Preparing robots for the real world (Berlin, 2013). CoRR abs/1306.3551 (2013) - 2012
- [c59]Damien Teney, Justus H. Piater
:
Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges. 3DIMPVT 2012: 160-167 - [c58]Damien Teney, Justus H. Piater
:
Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences. DICTA 2012: 1-8 - [c57]Renaud Detry, Carl Henrik Ek, Marianna Madry, Justus H. Piater
, Danica Kragic:
Generalizing grasps across partly similar objects. ICRA 2012: 3791-3797 - [c56]Lars-Peter Ellekilde, Jimmy A. Jørgensen, Dirk Kraft
, Norbert Krüger
, Justus H. Piater
, Henrik Gordon Petersen
:
Applying a learning framework for improving success rates in industrial bin picking. IROS 2012: 1637-1643 - [c55]Jens Forster, Christoph Schmidt, Thomas Hoyoux, Oscar Koller, Uwe Zelle, Justus H. Piater, Hermann Ney:
RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus. LREC 2012: 3785-3789 - 2011
- [j13]Justus H. Piater
, Sébastien Jodogne
, Renaud Detry, Dirk Kraft
, Norbert Krüger
, Oliver Kroemer, Jan Peters
:
Learning visual representations for perception-action systems. Int. J. Robotics Res. 30(3): 294-307 (2011) - [j12]Renaud Detry, Dirk Kraft
, Oliver Kroemer, Leon Bodenhagen
, Jan Peters, Norbert Krüger
, Justus H. Piater
:
Learning grasp affordance densities. Paladyn J. Behav. Robotics 2(1): 1-17 (2011) - [j11]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:
Object-Action Complexes: Grounded abstractions of sensory-motor processes. Robotics Auton. Syst. 59(10): 740-757 (2011) - [c54]Damien Teney, Justus H. Piater
:
Probabilistic Object Models for Pose Estimation in 2D Images. DAGM-Symposium 2011: 336-345 - [c53]Leon Bodenhagen
, Renaud Detry, Justus H. Piater
, Norbert Krüger
:
What a successful grasp tells about the success chances of grasps in its vicinity. ICDL-EPIROB 2011: 1-8 - [i1]Sébastien Jodogne, Justus H. Piater:
Closed-Loop Learning of Visual Control Policies. CoRR abs/1110.2210 (2011) - 2010
- [j10]Emre Baseski, Nicolas Pugeault
, Sinan Kalkan
, Leon Bodenhagen
, Justus H. Piater
, Norbert Krüger
:
Using multi-modal 3D contours and their relations for vision and robotics. J. Vis. Commun. Image Represent. 21(8): 850-864 (2010) - [j9]Oliver Kroemer, Renaud Detry, Justus H. Piater
, Jan Peters
:
Combining active learning and reactive control for robot grasping. Robotics Auton. Syst. 58(9): 1105-1116 (2010) - [j8]Dirk Kraft
, Renaud Detry, Nicolas Pugeault
, Emre Baseski, Frank Guerin
, Justus H. Piater
, Norbert Krüger
:
Development of Object and Grasping Knowledge by Robot Exploration. IEEE Trans. Auton. Ment. Dev. 2(4): 368-383 (2010) - [c52]Arnaud Declercq, Justus H. Piater
:
Affine Warp Propagation for Fast Simultaneous Modelling and Tracking of Articulated Objects. ACCV (3) 2010: 422-435 - [c51]Renaud Detry, Justus H. Piater
:
Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition. ACCV (3) 2010: 572-585 - [c50]Wei Du, Justus H. Piater
:
Hand Modeling and Tracking for Video-Based Sign Language Recognition by Robust Principal Component Analysis. ECCV Workshops (1) 2010: 273-285 - [c49]Oliver Kroemer, Renaud Detry, Justus H. Piater, Jan Peters:
Grasping with Vision Descriptors and Motor Primitives. ICINCO (2) 2010: 47-54 - [c48]Oliver Kroemer, Renaud Detry, Justus H. Piater
, Jan Peters
:
Grasping with Vision Descriptors and Motor Primitives. ICINCO (Selected Papers) 2010: 211-223 - [c47]Renaud Detry, Dirk Kraft
, Anders Glent Buch, Norbert Krüger
, Justus H. Piater
:
Refining grasp affordance models by experience. ICRA 2010: 2287-2293 - [c46]Ayse Erkan, Oliver Kroemer, Renaud Detry, Yasemin Altun, Justus H. Piater
, Jan Peters
:
Learning probabilistic discriminative models of grasp affordances under limited supervision. IROS 2010: 1586-1591 - [c45]Philippe Dreuw, Hermann Ney, Gregorio Martínez Pérez, Onno Crasborn, Justus H. Piater, Jose Miguel Moya, Mark Wheatley:
The SignSpeak Project - Bridging the Gap Between Signers and Speakers. LREC 2010 - [c44]Oliver Krömer, Renaud Detry, Justus H. Piater
, Jan Peters
:
Adapting Preshaped Grasping Movements Using Vision Descriptors. SAB 2010: 156-166 - [p1]Renaud Detry, Emre Baseski, Mila Popovic, Younes Touati, Norbert Krüger, Oliver Kroemer, Jan Peters
, Justus H. Piater
:
Learning Continuous Grasp Affordances by Sensorimotor Exploration. From Motor Learning to Interaction Learning in Robots 2010: 451-465
2000 – 2009
- 2009
- [j7]Justus H. Piater
:
Planning readings: a comparative exploration of basic algorithms. Comput. Sci. Educ. 19(3): 179-192 (2009) - [j6]Wei Du, Jean-Bernard Hayet
, Jacques G. Verly, Justus H. Piater
:
Ground-Target Tracking in Multiple Cameras Using Collaborative Particle Filters and Principal Axis-Based Integration. IPSJ Trans. Comput. Vis. Appl. 1: 58-71 (2009) - [j5]Renaud Detry, Nicolas Pugeault
, Justus H. Piater
:
A Probabilistic Framework for 3D Visual Object Representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1790-1803 (2009) - [c43]Dirk Kraft
, Renaud Detry, Nicolas Pugeault
, Emre Baseski, Justus H. Piater
, Norbert Krüger
:
Learning Objects and Grasp Affordances through Autonomous Exploration. ICVS 2009: 235-244 - [c42]Oliver Kroemer, Renaud Detry, Justus H. Piater
, Jan Peters
:
Active learning using mean shift optimization for robot grasping. IROS 2009: 2610-2615 - [c41]Emre Baseski, Leon Bodenhagen
, Nicolas Pugeault
, Sinan Kalkan
, Justus H. Piater
, Norbert Krüger
:
Using 3D contours and their relations for cognitive vision and robotics. ISCIS 2009: 409-414 - [c40]Justus H. Piater
, Sébastien Jodogne
, Renaud Detry, Dirk Kraft, Norbert Krüger, Oliver Krömer, Jan Peters
:
Learning Visual Representations for Interactive Systems. ISRR 2009: 399-416 - [e2]Mario Fritz, Bernt Schiele
, Justus H. Piater
:
Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liège, Belgium, October 13-15, 2009, Proceedings. Lecture Notes in Computer Science 5815, Springer 2009, ISBN 978-3-642-04666-7 [contents] - 2008
- [c39]Wei Du, Justus H. Piater
:
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking. ECCV (2) 2008: 225-238 - [c38]Renaud Detry, Nicolas Pugeault
, Justus H. Piater
:
Probabilistic Pose Recovery Using Learned Hierarchical Object Models. ICVW 2008: 107-120 - [c37]Arnaud Declercq, Justus H. Piater:
Online Learning of Gaussian Mixture Models - a Two-Level Approach. VISAPP (1) 2008: 605-611 - 2007
- [j4]Sébastien Jodogne
, Justus H. Piater:
Closed-Loop Learning of Visual Control Policies. J. Artif. Intell. Res. 28: 349-391 (2007) - [c36]Wei Du, Justus H. Piater
:
Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration. ACCV (1) 2007: 365-374 - [c35]Arnaud Declercq, Justus H. Piater
:
On-line Simultaneous Learning and Tracking of Visual Feature Graphs. CVPR 2007 - [c34]Fabien Scalzo, Justus H. Piater
:
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models. CVPR 2007 - [c33]Wei Du, Justus H. Piater
:
Sequential variational inference for distributed multi-sensor tracking and fusion. FUSION 2007: 1-7 - [c32]Jean-Bernard Hayet
, Justus H. Piater
:
On-Line Rectification of Sport Sequences with Moving Cameras. MICAI 2007: 736-746 - [c31]Joanna Isabelle Olszewska, Tom Mathes, Christophe De Vleeschouwer, Justus H. Piater
, Benoît Macq:
Non-rigid object tracker based on a robust combination of parametric active contour and point distribution model. VCIP 2007: 65082A - 2006
- [c30]Wei Du, Justus H. Piater
:
Multi-view Object Tracking Using Sequential Belief Propagation. ACCV (1) 2006: 684-693 - [c29]Tom Mathes, Justus H. Piater
:
Robust Non-rigid Object Tracking Using Point Distribution Manifolds. DAGM-Symposium 2006: 515-524 - [c28]Sébastien Jodogne
, Cyril Briquet, Justus H. Piater
:
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks. ECML 2006: 210-221 - [c27]Sébastien Jodogne
, Justus H. Piater
:
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions. ECML 2006: 222-233 - [c26]Wei Du, Justus H. Piater
:
Data Fusion by Belief Propagation for Multi-Camera Tracking. FUSION 2006: 1-8 - [c25]Fabien Scalzo, Justus H. Piater
:
Unsupervised Learning of Dense Hierarchical Appearance Represe. ICPR (2) 2006: 395-398 - 2005
- [c24]Sébastien Jodogne, Justus H. Piater:
Reinforcement Learning of Perceptual Classes using Q Learning Updates. Artificial Intelligence and Applications 2005: 445-450 - [c23]Pierre Fatrus Gabriel, Jean-Bernard Hayet
, Justus H. Piater
, Jacques G. Verly:
Object tracking using color interest points. AVSS 2005: 159-164 - [c22]Wei Du, Justus H. Piater
:
Tracking by cluster analysis of feature points using a mixture particle filter. AVSS 2005: 165-170 - [c21]Jean-Bernard Hayet
, Tom Mathes, Jacek Czyz, Justus H. Piater
, Jacques G. Verly, Benoît Macq:
A modular multi-camera framework for team sports tracking. AVSS 2005: 493-498 - [c20]Tom Mathes, Justus H. Piater
:
Robust Non-Rigid Object Tracking Using Point Distribution Models. BMVC 2005 - [c19]Raphaël Marée, Pierre Geurts, Justus H. Piater
, Louis Wehenkel
:
Biomedical Image Classification with Random Subwindows and Decision Trees. CVBIA 2005: 220-229 - [c18]Raphaël Marée
, Pierre Geurts, Justus H. Piater
, Louis Wehenkel
:
Random Subwindows for Robust Image Classification. CVPR (1) 2005: 34-40 - [c17]Fabien Scalzo, Justus H. Piater
:
Statistical Learning of Visual Feature Hierarchies. CVPR Workshops 2005: 44 - [c16]Sébastien Jodogne
, Fabien Scalzo, Justus H. Piater
:
Task-Driven Learning of Spatial Combinations of Visual Features. CVPR Workshops 2005: 48 - [c15]Wei Du, Justus H. Piater
:
Tracking by Cluster Analysis of Feature Points and Multiple Particle Filters. ICAPR (2) 2005: 701-710 - [c14]Jean-Bernard Hayet
, Justus H. Piater
, Jacques G. Verly:
Fast 2D model-to-image registration using vanishing points for sports video analysis. ICIP (3) 2005: 417-420 - [c13]Sébastien Jodogne
, Justus H. Piater
:
Interactive learning of mappings from visual percepts to actions. ICML 2005: 393-400 - [c12]Fabien Scalzo, Justus H. Piater
:
Unsupervised Learning of Visual Feature Hierarchies. MLDM 2005: 243-252 - 2004
- [j3]James L. Crowley, Justus H. Piater:
Introduction to the special issue: International Conference on Vision Systems. Mach. Vis. Appl. 16(1): 4-5 (2004) - [c11]Jean-Bernard Hayet, Justus H. Piater
, Jacques G. Verly:
Robust incremental rectification of sports video sequences. BMVC 2004: 1-10 - [c10]Sébastien Jodogne, Justus H. Piater
:
Interactive Selection of Visual Features through Reinforcement Learning. SGAI Conf. 2004: 285-298 - 2003
- [c9]Raphaël Marée, Pierre Geurts, Giorgio Visimberga, Justus H. Piater
, Louis Wehenkel:
A Comparison of Generic Machine Learning Algorithms for Image Classification. SGAI Conf. 2003: 169-182 - [e1]James L. Crowley, Justus H. Piater
, Markus Vincze, Lucas Paletta:
Computer Vision Systems, Third International Conference, ICVS 2003, Graz, Austria, April 1-3, 2003, Proceedings. Lecture Notes in Computer Science 2626, Springer 2003, ISBN 3-540-00921-3 [contents] - 2001
- [j2]Jefferson A. Coelho Jr., Justus H. Piater
, Roderic A. Grupen:
Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot. Robotics Auton. Syst. 37(2-3): 195-218 (2001) - 2000
- [c8]Justus H. Piater
, Roderic A. Grupen:
Distinctive Features Should Be Learned. Biologically Motivated Computer Vision 2000: 52-61 - [c7]Justus H. Piater, Roderic A. Grupen:
Constructive Feature Learning and the Development of Visual Expertise. ICML 2000: 751-758 - [c6]Justus H. Piater
, Roderic A. Grupen:
Feature Learning for Recognition with Bayesian Networks. ICPR 2000: 1017-1020
1990 – 1999
- 1999
- [j1]Justus H. Piater
, Edward M. Riseman, Paul E. Utgoff:
Interactively Training Pixel Classifiers. Int. J. Pattern Recognit. Artif. Intell. 13(2): 171-193 (1999) - [c5]Justus H. Piater
, Roderic A. Grupen:
Toward Learning Visual Discrimination Strategies. CVPR 1999: 1410-1415 - [c4]Justus H. Piater, Roderic A. Grupen:
A Framework for Learning Visual Discrimination. FLAIRS 1999: 84-88 - 1998
- [c3]Justus H. Piater, Edward M. Riseman, Paul E. Utgoff:
Interactively Training Pixel Classifiers. FLAIRS 1998: 57-61 - [c2]Justus H. Piater, Paul R. Cohen, Xiaoqin Zhang, Michael Atighetchi:
A Randomized ANOVA Procedure for Comparing Performance Curves. ICML 1998: 430-438 - [c1]Justus H. Piater
, Adriana Mincheva:
Building pixel classifiers using the interactive teacher/learner (ITL) system. WACV 1998: 252-253
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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