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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
- 2023
[j43]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)- [i28]Lukas Mölschl, Jakob J. Hollenstein, Justus H. Piater:
Differentiable Forward Kinematics for TensorFlow 2. CoRR abs/2301.09954 (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]