Angélique Loesch

According to our database, Angélique Loesch authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Masked multi-prediction for multi-aspect anomaly detection.

Yassine Naji, Romaric Audigier, Aleksandr Setkov, Angelique Loesch, Michèle Gouiffès

Trans. Mach. Learn. Res., 2024

MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty.

Rémi Marsal, Florian Chabot, Angelique Loesch, William Grolleau, Hichem Sahbi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow.

Rémi Marsal, Florian Chabot, Angélique Loesch, Hichem Sahbi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

Quentin Bouniot, Angélique Loesch, Amaury Habrard, Romaric Audigier

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Proposal-Contrastive Pretraining for Object Detection from Fewer Data.

Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels?

Hejer Ammar, Angelique Loesch, Corentin Vannier, Romaric Audigier

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification.

Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu

Comput. Vis. Image Underst., 2022

Object-Centric and Memory-Guided Normality Reconstruction for Video Anomaly Detection.

Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving Few-Shot Learning Through Multi-task Representation Learning Theory.

Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard

Proceedings of the Computer Vision - ECCV 2022, 2022

Spatio-temporal predictive tasks for abnormal event detection in videos.

Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier

Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters.

Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu

IEEE Access, 2021

Describe Me If You Can! Characterized Instance-Level Human Parsing.

Angelique Loesch, Romaric Audigier

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms.

Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard

CoRR, 2020

Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling.

Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization.

Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Optimal Transport as a Defense Against Adversarial Attacks.

Quentin Bouniot, Romaric Audigier, Angelique Loesch

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks.

Quentin Bouniot, Romaric Audigier, Angélique Loesch

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

End-To-End Person Search Sequentially Trained On Aggregated Dataset.

Angelique Loesch, Jaonary Rabarisoa, Romaric Audigier

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Localization of 3D objects using model-constrained SLAM.

Angelique Loesch, Steve Bourgeois, Vincent Gay-Bellile, Olivier Gomez, Michel Dhome

Mach. Vis. Appl., 2018

2016

A Hybrid Structure/Trajectory Constraint for Visual SLAM.

Angelique Loesch, Steve Bourgeois, Vincent Gay-Bellile, Michel Dhome

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Generic edgelet-based tracking of 3D objects in real-time.

Angelique Loesch, Steve Bourgeois, Vincent Gay-Bellile, Michel Dhome

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015