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ORCIDJustus H. Piater
Person information
- affiliation: University of Innsbruck, Austria
- affiliation: INRIA Rhône-Alpes, France
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2020 – today
- 2024
[c119]Jakob J. Hollenstein, Georg Martius, Justus H. Piater:
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. AAAI 2024: 12466-12472- [c118]Joanna Chimiak-Opoka, Justus H. Piater:
Minor Digital Science at the University of Innsbruck: The Dynamics of Multidisciplinary Education for Heterogeneous Groups. INFORMATIK 2024: 2237-2244 - [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
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