ML Anthology

Loesch, Angélique

7 publications

TMLR 2024 Masked Multi-Prediction for Multi-Aspect Anomaly Detection Yassine Naji, Romaric Audigier, Aleksandr Setkov, Angelique Loesch, Michèle Gouiffès
WACV 2024 MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty Rémi Marsal, Florian Chabot, Angélique Loesch, William Grolleau, Hichem Sahbi
WACV 2023 BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow Rémi Marsal, Florian Chabot, Angélique Loesch, Hichem Sahbi
ICLR 2023 Proposal-Contrastive Pretraining for Object Detection from Fewer Data Quentin Bouniot, Romaric Audigier, Angelique Loesch, Amaury Habrard
WACV 2023 Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient? Quentin Bouniot, Angélique Loesch, Romaric Audigier, Amaury Habrard
ECCV 2022 Improving Few-Shot Learning Through Multi-Task Representation Learning Theory Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
CVPRW 2020 Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks Quentin Bouniot, Romaric Audigier, Angélique Loesch