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Exploration Strategies for Incremental Learning of Object-Based Visual SaliencyJoint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Aug 2015, Providence, United States
Conference papers
hal-01170532v1
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On the Use of Intrinsic Motivation for Visual Saliency LearningSixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy-Pontoise, France
Conference papers
hal-01370850v1
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Apprentissage incrémental de la saillance visuelle pour des applications robotiqueJournées francophones des jeunes chercheurs en vision par ordinateur, Jun 2015, Amiens, France
Conference papers
hal-01161848v1
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Environment Exploration for Object-Based Visual Saliency LearningInternational Conference on Robotics and Automation , May 2016, Stockholm, Sweden
Conference papers
hal-01289159v1
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State Representation Learning for Control: An OverviewNeural Networks, 2018, 108, pp.379-392. ⟨10.1016/j.neunet.2018.07.006⟩
Journal articles
hal-01858558v1
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RL-IAC: An Exploration Policy for Online Saliency Learning on an Autonomous Mobile Robot IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2016, Daejeon, South Korea
Conference papers
hal-01392947v2
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BioVision: a Biomimetics Platform for Intrinsically Motivated Visual Saliency LearningIEEE Transactions on Cognitive and Developmental Systems, 2018, ⟨10.1109/TCDS.2018.2806227⟩
Journal articles
hal-01728340v1
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Exploring to learn visual saliency: The RL-IAC approachRobotics and Autonomous Systems, 2019, 112, pp.244-259. ⟨10.1016/j.robot.2018.11.012⟩
Journal articles
hal-01959882v1
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Training Discriminative Models to Evaluate Generative OnesICANN, 2019, Munich, Germany
Conference papers
hal-02285834v1
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Generative Models from the perspective of Continual LearningIJCNN - International Joint Conference on Neural Networks, Jul 2019, Budapest, Hungary
Conference papers
hal-01951954v1
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