Audigier, Romaric

9 publications

NeurIPS 2025 CaMiT: A Time-Aware Car Model Dataset for Classification and Generation Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu, Hejer Ammar, Romaric Audigier, Hervé Le Borgne

TMLR 2024 Masked Multi-Prediction for Multi-Aspect Anomaly Detection Yassine Naji, Romaric Audigier, Aleksandr Setkov, Angelique Loesch, Michèle Gouiffès

ECCVW 2024 Open-Set Object Detection: Towards Unified Problem Formulation and Benchmarking Hejer Ammar, Nikita Kiselov, Guillaume Lapouge, Romaric Audigier

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

WACV 2020 Classifying All Interacting Pairs in a Single Shot Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison

CVPRW 2020 Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks Quentin Bouniot, Romaric Audigier, Angélique Loesch

ECCV 2016 Improving Multi-Frame Data Association with Sparse Representations for Robust Near-Online Multi-Object Tracking Loïc Fagot-Bouquet, Romaric Audigier, Yoann Dhome, Frédéric Lerasle