Generic edgelet-based tracking of 3D objects in real-time. - Angelique Loesch; Steve Bourgeois; Vincent Gay-Bellile; Michel Dhome (IROS, 2015)

A Hybrid Structure/Trajectory Constraint for Visual SLAM. - Angelique Loesch; Steve Bourgeois; Vincent Gay-Bellile; Michel Dhome (3DV, 2016)

Localization of 3D objects using model-constrained SLAM. - Angelique Loesch; Steve Bourgeois; Vincent Gay-Bellile; Olivier Gomez; Michel Dhome (Mach. Vis. Appl., 2018)

End-To-End Person Search Sequentially Trained On Aggregated Dataset. - Angelique Loesch; Jaonary Rabarisoa; Romaric Audigier (ICIP, 2019)

Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks. - Quentin Bouniot; Romaric Audigier; Angélique Loesch (CVPR Workshops, 2020)

Optimal Transport as a Defense Against Adversarial Attacks. - Quentin Bouniot; Romaric Audigier; Angelique Loesch (ICPR, 2020)

PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization. - Thomas Defard; Aleksandr Setkov; Angelique Loesch; Romaric Audigier (ICPR Workshops (4), 2020)

Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. - Fabian Dubourvieux; Romaric Audigier; Angelique Loesch; Samia Ainouz 001; Stéphane Canu (ICPR, 2020)

Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms. - Quentin Bouniot; Ievgen Redko; Romaric Audigier; Angélique Loesch; Amaury Habrard (CoRR, 2020)

Describe Me If You Can! Characterized Instance-Level Human Parsing. - Angelique Loesch; Romaric Audigier (ICIP, 2021)

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters. - Fabian Dubourvieux; Angélique Loesch; Romaric Audigier; Samia Ainouz 001; Stéphane Canu (IEEE Access, 2021)

Spatio-temporal predictive tasks for abnormal event detection in videos. - Yassine Naji; Aleksandr Setkov; Angélique Loesch; Michèle Gouiffès; Romaric Audigier (AVSS, 2022)

Improving Few-Shot Learning Through Multi-task Representation Learning Theory. - Quentin Bouniot; Ievgen Redko; Romaric Audigier; Angélique Loesch; Amaury Habrard (ECCV (20), 2022)

Object-Centric and Memory-Guided Normality Reconstruction for Video Anomaly Detection. - Khalil Bergaoui; Yassine Naji; Aleksandr Setkov; Angélique Loesch; Michèle Gouiffès; Romaric Audigier (ICIP, 2022)

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. - Fabian Dubourvieux; Romaric Audigier; Angélique Loesch; Samia Ainouz 001; Stéphane Canu (Comput. Vis. Image Underst., 2022)

Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels? - Hejer Ammar; Angelique Loesch; Corentin Vannier; Romaric Audigier (ICIP, 2023)

Proposal-Contrastive Pretraining for Object Detection from Fewer Data. - Quentin Bouniot; Romaric Audigier; Angélique Loesch; Amaury Habrard (ICLR, 2023)

Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient? - Quentin Bouniot; Angélique Loesch; Amaury Habrard; Romaric Audigier (WACV, 2023)

BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow. - Rémi Marsal; Florian Chabot; Angélique Loesch; Hichem Sahbi (WACV, 2023)

MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty. - Rémi Marsal; Florian Chabot; Angelique Loesch; William Grolleau; Hichem Sahbi (WACV, 2024)

Masked multi-prediction for multi-aspect anomaly detection. - Yassine Naji; Romaric Audigier; Aleksandr Setkov; Angelique Loesch; Michèle Gouiffès (Trans. Mach. Learn. Res., 2024)