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2020 – today
- 2024
[j4]Yassine Naji, Romaric Audigier, Aleksandr Setkov, Angelique Loesch, Michèle Gouiffès:
Masked multi-prediction for multi-aspect anomaly detection. Trans. Mach. Learn. Res. 2024 (2024)- [c16]Rémi Marsal, Florian Chabot, Angelique Loesch, William Grolleau, Hichem Sahbi:
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty. WACV 2024: 3625-3634 - 2023
- [c15]Hejer Ammar
, Angelique Loesch, Corentin Vannier, Romaric Audigier:
Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels? ICIP 2023: 1725-1729 - [c14]Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard:
Proposal-Contrastive Pretraining for Object Detection from Fewer Data. ICLR 2023 - [c13]Quentin Bouniot, Angélique Loesch, Amaury Habrard, Romaric Audigier:
Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient? WACV 2023: 75-84 - [c12]Rémi Marsal, Florian Chabot, Angélique Loesch, Hichem Sahbi:
BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow. WACV 2023: 2060-2069 - [i13]Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard:
Proposal-Contrastive Pretraining for Object Detection from Fewer Data. CoRR abs/2310.16835 (2023) - [i12]Quentin Bouniot, Angélique Loesch, Romaric Audigier, Amaury Habrard:
Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ? CoRR abs/2310.19936 (2023) - [i11]Rémi Marsal, Florian Chabot, Angelique Loesch, William Grolleau, Hichem Sahbi:
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty. CoRR abs/2311.06137 (2023) - 2022
- [j3]Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu:
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. Comput. Vis. Image Underst. 223: 103527 (2022) - [c11]Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier:
Spatio-temporal predictive tasks for abnormal event detection in videos. AVSS 2022: 1-8 - [c10]Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard:
Improving Few-Shot Learning Through Multi-task Representation Learning Theory. ECCV (20) 2022: 435-452 - [c9]Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier:
Object-Centric and Memory-Guided Normality Reconstruction for Video Anomaly Detection. ICIP 2022: 2691-2695 - [i10]Angelique Loesch, Romaric Audigier:
Describe me if you can! Characterized Instance-level Human Parsing. CoRR abs/2201.09594 (2022) - [i9]Angelique Loesch, Jaonary Rabarisoa, Romaric Audigier:
End-to-end Person Search Sequentially Trained on Aggregated Dataset. CoRR abs/2201.09604 (2022) - [i8]Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier:
Object-centric and memory-guided normality reconstruction for video anomaly detection. CoRR abs/2203.03677 (2022) - [i7]Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier:
Spatio-temporal predictive tasks for abnormal event detection in videos. CoRR abs/2210.15741 (2022) - 2021
- [j2]Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu:
Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters. IEEE Access 9: 149780-149795 (2021) - [c8]Angelique Loesch, Romaric Audigier:
Describe Me If You Can! Characterized Instance-Level Human Parsing. ICIP 2021: 2528-2532 - [i6]Quentin Bouniot, Romaric Audigier, Angélique Loesch:
Optimal Transport as a Defense Against Adversarial Attacks. CoRR abs/2102.03156 (2021) - [i5]Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu:
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters. CoRR abs/2110.07897 (2021) - [i4]Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu:
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. CoRR abs/2112.12887 (2021) - 2020
- [c7]Quentin Bouniot, Romaric Audigier, Angélique Loesch:
Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks. CVPR Workshops 2020: 3450-3459 - [c6]Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier:
PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization. ICPR Workshops (4) 2020: 475-489 - [c5]Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu:
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. ICPR 2020: 4957-4964 - [c4]Quentin Bouniot, Romaric Audigier, Angelique Loesch:
Optimal Transport as a Defense Against Adversarial Attacks. ICPR 2020: 5044-5051 - [i3]Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu:
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. CoRR abs/2009.09445 (2020) - [i2]Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard:
Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms. CoRR abs/2010.01992 (2020) - [i1]Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier:
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization. CoRR abs/2011.08785 (2020)
2010 – 2019
- 2019
- [c3]Angelique Loesch, Jaonary Rabarisoa, Romaric Audigier:
End-To-End Person Search Sequentially Trained On Aggregated Dataset. ICIP 2019: 4574-4578 - 2018
- [j1]Angelique Loesch, Steve Bourgeois, Vincent Gay-Bellile, Olivier Gomez, Michel Dhome:
Localization of 3D objects using model-constrained SLAM. Mach. Vis. Appl. 29(7): 1041-1068 (2018) - 2016
- [c2]Angelique Loesch, Steve Bourgeois, Vincent Gay-Bellile, Michel Dhome:
A Hybrid Structure/Trajectory Constraint for Visual SLAM. 3DV 2016: 19-27 - 2015
- [c1]Angelique Loesch, Steve Bourgeois, Vincent Gay-Bellile, Michel Dhome:
Generic edgelet-based tracking of 3D objects in real-time. IROS 2015: 6059-6066
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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