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		<title>Matthieu Grard on Imagine Team</title>
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				<title>Adaptive Class Aware Memory Selection and Contrastive Representation Learning for Robust Online Continual Learning in both Balanced and Imbalanced Data Environments</title>
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				<title>Entropy-Guided Self-Regulated Learning Without Forgetting for Distribution-Shift Continual Learning with blurred task boundaries</title>
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				<title>ONLINE CONTINUAL LEARNING OF DIFFUSION MODELS: MULTI-MODE ADAPTIVE GENERATIVE DISTILLATION</title>
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				<pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate>
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				<title>Imbalanced data robust online continual learning based on evolving class aware memory selection and built-in contrastive representation learning</title>
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				<pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
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				<title>When continual learning meets robotic grasp detection: a novel benchmark on the Jacquard dataset</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-04350431/</link>
				<pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate>
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				<title>Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-02151828/</link>
				<pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
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				<title>Generic instance segmentation for object-oriented bin-picking</title>
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				<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
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				<title>Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network</title>
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				<pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate>
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