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Angélique Loesch

Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ?

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Oct 30, 2023
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Proposal-Contrastive Pretraining for Object Detection from Fewer Data

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Oct 25, 2023
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Spatio-temporal predictive tasks for abnormal event detection in videos

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Oct 27, 2022
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Object-centric and memory-guided normality reconstruction for video anomaly detection

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Mar 07, 2022
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A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification

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Dec 28, 2021
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Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters

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Nov 04, 2021
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Optimal Transport as a Defense Against Adversarial Attacks

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Feb 05, 2021
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Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms

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Oct 05, 2020
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