References of "Piater, Justus"
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See detailActive Learning using Mean Shift Optimization for Robot Grasping
Kroemer, Oliver; Detry, Renaud ULg; Piater, Justus ULg et al

in IEEE/RSJ International Conference on Intelligent Robots and Systems (2009)

Detailed reference viewed: 27 (2 ULg)
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See detailLearning Objects and Grasp Affordances through Autonomous Exploration
Kraft, Dirk; Detry, Renaud ULg; Pugeault, Nicolas et al

in International Conference on Computer Vision Systems (2009)

Detailed reference viewed: 14 (3 ULg)
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See detailLearning Object-specific Grasp Affordance Densities
Detry, Renaud ULg; Başeski, Emre; Krüger, Norbert et al

in International Conference on Development and Learning (2009)

Detailed reference viewed: 13 (1 ULg)
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See detailA Probabilistic Framework for 3D Visual Object Representation
Detry, Renaud ULg; Pugeault, Nicolas; Piater, Justus ULg

in IEEE Transactions on Pattern Analysis & Machine Intelligence (2009)

Detailed reference viewed: 38 (12 ULg)
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See detailLearning Visual Representations for Interactive Systems
Piater, Justus ULg; Jodogne, Sébastien ULg; Detry, Renaud ULg et al

in 14th International Symposium on Robotics Research (2009)

Detailed reference viewed: 11 (4 ULg)
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See detailGround-Target Tracking in Multiple Cameras Using Collaborative Particle Filters and Principal Axis-Based Integration
Du, Wei ULg; Hayet, Jean-Bernard; Verly, Jacques ULg et al

in IPSJ Transactions on Computer Vision and Applications (2009), 1

Detailed reference viewed: 59 (2 ULg)
See detailComputer Vision Systems: Seventh International Conference
Fritz, Mario; Schiele, Bernt; Piater, Justus ULg

Book published by Springer (2009)

Detailed reference viewed: 6 (0 ULg)
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See detailPlanning Readings: a Comparative Exploration of Basic Algorithms
Piater, Justus ULg

in Computer Science Education (2009), 19(3), 179--192

Detailed reference viewed: 3 (0 ULg)
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See detail3D Probabilistic Representations for Vision and Action
Piater, Justus ULg; Detry, Renaud ULg

Conference (2008)

Detailed reference viewed: 21 (3 ULg)
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See detailVision as Inference in a Hierarchical Markov Network
Piater, Justus ULg; Scalzo, Fabien; Detry, Renaud ULg

Conference (2008)

Detailed reference viewed: 15 (1 ULg)
See detailProgramme SMA Sémantique
Demaret, Jean-Noël ULg; Piater, Justus ULg; Boigelot, B. et al

Software (2008)

Detailed reference viewed: 88 (24 ULg)
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See detailExploration and Planning in a Three-Level Cognitive Architecture
Kraft, D.; Başeski, E.; Popović, M. et al

in International Conference on Cognitive Systems (CogSys) (2008)

Detailed reference viewed: 37 (1 ULg)
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See detailProbabilistic Pose Recovery Using Learned Hierarchical Object Models
Detry, Renaud ULg; Pugeault, Nicolas; Piater, Justus ULg

in International Cognitive Vision Workshop (Workshop at the 6th International Conference on Vision Systems) (2008)

Detailed reference viewed: 18 (3 ULg)
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See detailOnline Learning of Gaussian Mixture Models - a Two-Level Approach
Declercq, Arnaud ULg; Piater, Justus ULg

in VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1 (2008)

Online learning, Gaussian mixture model, Uncertain model. We present a method for incrementally learning mixture models that avoids the necessity to keep all data points around. It contains a single user ... [more ▼]

Online learning, Gaussian mixture model, Uncertain model. We present a method for incrementally learning mixture models that avoids the necessity to keep all data points around. It contains a single user-settable parameter that controls via a novel statistical criterion the trade-off between the number of mixture components and the accuracy of representing the data. A key idea is that each component of the (non-overfitting) mixture is in turn represented by an underlying mixture that represents the data very precisely (without regards to overfitting); this allows the model to be refined without sacrificing accuracy. [less ▲]

Detailed reference viewed: 75 (0 ULg)
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See detailA Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Du, Wei ULg; Piater, Justus ULg

in 10th European Conference on Computer Vision (2008)

Detailed reference viewed: 18 (0 ULg)
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See detailClosed-Loop Learning of Visual Control Policies
Jodogne, Sébastien ULg; Piater, Justus ULg

in Journal of Artificial Intelligence Research (2007), 28

Detailed reference viewed: 17 (6 ULg)
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See detailOn-line Simultaneous Learning and Tracking of Visual Feature Graphs
Declercq, Arnaud ULg; Piater, Justus ULg

in 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR07) (2007)

Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only few where both aid each ... [more ▼]

Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only few where both aid each other simultaneously. In this work, we seek to incrementally learn a graphical model from tracking and to simultaneously use whatever has been learned to improve the tracking in the next frames. The main problem encountered in this situation is that the current intermediate model may be inconsistent with future observations, creating a bias in the tracking results. We propose an uncertain model that explicitly accounts for such uncertainties by representing relations by an appropriately weighted sum of informative (parametric) and uninformative (uniform) components. The method is completely unsupervised and operates in real time. [less ▲]

Detailed reference viewed: 16 (0 ULg)
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See detailOn-Line Rectification of Sport Sequences with Moving Cameras
Hayet, Jean-Bernard; Piater, Justus ULg

in Mexican International Conference on Artificial Intelligence (2007)

Detailed reference viewed: 4 (0 ULg)
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See detailNon-Rigid Object Tracker Based On a Robust Combination of Parametric Active Contour and Point Distribution Model
Olszewska, Joanna; Mathes, Tom; De Vleeschouwer, Christophe et al

in Proceedings of the SPIE Conference on Visual Communication and Image Processing (2007)

Detailed reference viewed: 10 (0 ULg)