| 2023 | ICLR | Proposal-Contrastive Pretraining for Object Detection from Fewer Data. | Quentin Bouniot, Romaric Audigier, Anglique Loesch, Amaury Habrard |
| 2023 | WACV | Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient? | Quentin Bouniot, Anglique Loesch, Amaury Habrard, Romaric Audigier |
| 2023 | WACV | BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow. | Rmi Marsal, Florian Chabot, Anglique Loesch, Hichem Sahbi |
| 2022 | AVSS | Spatio-temporal predictive tasks for abnormal event detection in videos. | Yassine Naji, Aleksandr Setkov, Anglique Loesch, Michle Gouiffs, Romaric Audigier |
| 2022 | ECCV | Improving Few-Shot Learning Through Multi-task Representation Learning Theory. | Quentin Bouniot, Ievgen Redko, Romaric Audigier, Anglique Loesch, Amaury Habrard |
| 2022 | ICIP | Object-Centric and Memory-Guided Normality Reconstruction for Video Anomaly Detection. | Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Anglique Loesch, Michle Gouiffs, Romaric Audigier |
| 2020 | CVPR | Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks. | Quentin Bouniot, Romaric Audigier, Anglique Loesch |